PyRank

turintech-evoml-python-dependencies

Set of meta machine learning models by unifying the interface of different machine learning libraries based on the Scikit-learn API protocol
PyPI
More links
Download Stats
Monthly downloads
214
Weekly downloads
70
GitHub stars
-

Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.

Package Information

Latest Version
2.6.0
Requires Python
<=3.11,>=3.9
Licence
TURING INTELLIGENCE TECHNOLOGY LIMITED END-USER LICENCE
Last Release
1 year ago
Author
Turing Intelligence Technology
First Release
February 26, 2025
Total Releases
4
Python Versions
3.9 3.10 3.11
No reported malware or high/critical advisories · Details

The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

Package Insights

What's this?
Score based on PyPI data only - no linked source repository
N/A
Health Score
Not available
requires GitHub data
How the maintenance status was determined
Last release
510 days ago
Monthly downloads
214
Active
Activity within 30 days
Stable
Activity within 31-180 days
• Minimal
Activity within 181-365 days, or no activity data
At Risk
No activity for > 365 days, but > 10,000 monthly downloads
Archived
Repository flagged as archived on GitHub
How the popularity category was determined
Monthly downloads
214
Stars
Unknown
Stars per 1k downloads
—
Industry Standard
> 10,000,000 monthly downloads
Hidden Gem
< 0.5 stars per 1k downloads and > 100,000 monthly downloads
Community Favorite
> 5 stars per 1k downloads
Rising Star
Balanced ratio of stars to downloads
• Unknown
Fewer than 1,000 monthly downloads, or no star data
Needs at least 1,000 monthly downloads to classify popularity.
How download momentum is calculated
Week daily avg
10
Month daily avg
7
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
More insights and metrics
Python version support tiers
requires_python
<=3.11,>=3.9
Cutting Edge
Minimum supported version is 3.14 or newer
Modern
Minimum supported version is 3.11 to 3.13
• Legacy
Supports 3.10 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
TURING INTELLIGENCE TECHNOLOGY LIMITED END-USER LICENCE
• Permissive
MIT, Apache, BSD, ISC, Unlicense, CC0, etc.
Copyleft
GPL, LGPL, AGPL, MPL, EPL, etc.
Proprietary
Commercial, all rights reserved, custom EULAs
Unknown
No license specified, or none of the above match
How the release cadence was determined
Last release
510 days ago
Total releases
4
Releases/year
2.4
Rapid
Last release within 365 days and > 12 releases/year
Regular
Last release within 365 days
• Slow
Last release 366-730 days ago
Stalled
Last release > 730 days ago, or no releases
Unknown
No usable release date available
How contributor risk was determined
Contributors
Unknown
Monthly downloads
214
High Load
≤ 2 contributors and ≥ 50,000 monthly downloads
Moderate Load
< 10 contributors and ≥ 500,000 monthly downloads
Low Load
< 25 contributors and ≥ 5,000,000 monthly downloads, or sole maintainer with ≥ 10,000 monthly downloads
Balanced
Enough contributors for the package's popularity
• Unknown
No contributor data available
Contributor count is missing — this usually indicates the package has no linked GitHub repository.
Engagement
0
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
-
contrib / forks
Stale Release
No
 
PR Velocity
-
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

No OS data available

Python Versions

No Python version data available

Top Countries

1. FR FR
19
2. US US
7

Weekly Downloads

GitHub Stars

Dependencies

0
3680 optional dependencies
  • accelerate==1.3.0[accelerate]
    extra == "accelerate"
  • accelerate==1.3.0[all]
    extra == "all"
  • accelerate==1.3.0[external-runtime]
    extra == "external-runtime"
  • accelerate==1.3.0[full-runtime]
    extra == "full-runtime"
  • accelerate==1.3.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • accelerate==1.3.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • adagio==0.2.6[adagio]
    extra == "adagio"
  • adagio==0.2.6[all]
    extra == "all"
  • adagio==0.2.6[external-runtime]
    extra == "external-runtime"
  • adagio==0.2.6[full-runtime]
    extra == "full-runtime"
  • adagio==0.2.6[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • adagio==0.2.6[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • adagio==0.2.6[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • adagio==0.2.6[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • adagio==0.2.6[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • adagio==0.2.6[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • adagio==0.2.6[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • adagio==0.2.6[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • adagio==0.2.6[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • adagio==0.2.6[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • adagio==0.2.6[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • adagio==0.2.6[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • adagio==0.2.6[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • aiohappyeyeballs==2.6.1[aiohappyeyeballs]
    extra == "aiohappyeyeballs"
  • aiohttp==3.12.0[aiohttp]
    extra == "aiohttp"
  • aiosignal==1.3.2[aiosignal]
    extra == "aiosignal"
  • alembic==1.16.1[alembic]
    extra == "alembic"
  • anyascii==0.3.2[anyascii]
    extra == "anyascii"
  • anyascii==0.3.2[external-runtime]
    extra == "external-runtime"
  • anytree==2.13.0[anytree]
    extra == "anytree"
  • anytree==2.13.0[external-runtime]
    extra == "external-runtime"
  • anytree==2.13.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • anytree==2.13.0[full-runtime]
    extra == "full-runtime"
  • appdirs==1.4.4[all]
    extra == "all"
  • appdirs==1.4.4[appdirs]
    extra == "appdirs"
  • appdirs==1.4.4[external-runtime]
    extra == "external-runtime"
  • appdirs==1.4.4[full-runtime]
    extra == "full-runtime"
  • appdirs==1.4.4[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • appdirs==1.4.4[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • appdirs==1.4.4[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • appdirs==1.4.4[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • appdirs==1.4.4[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • appdirs==1.4.4[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • appdirs==1.4.4[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • appdirs==1.4.4[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • appdirs==1.4.4[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • appdirs==1.4.4[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • appdirs==1.4.4[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • appdirs==1.4.4[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • appdirs==1.4.4[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • async-timeout==5.0.1[async-timeout]
    extra == "async-timeout"
  • attrs==25.3.0[attrs]
    extra == "attrs"
  • autocorrect==2.6.1[autocorrect]
    extra == "autocorrect"
  • autocorrect==2.6.1[external-runtime]
    extra == "external-runtime"
  • backports-cached-property==1.0.2[backports-cached-property]
    extra == "backports-cached-property"
  • backports-cached-property==1.0.2[external-runtime]
    extra == "external-runtime"
  • backports-cached-property==1.0.2[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • backports-cached-property==1.0.2[full-runtime]
    extra == "full-runtime"
  • biopython==1.85[biopython]
    extra == "biopython"
  • biopython==1.85[external-runtime]
    extra == "external-runtime"
  • catboost==1.2.8[all]
    extra == "all"
  • catboost==1.2.8[catboost]
    extra == "catboost"
  • catboost==1.2.8[catboost-classifier]
    extra == "catboost-classifier"
  • catboost==1.2.8[catboost-regressor]
    extra == "catboost-regressor"
  • catboost==1.2.8[external-runtime]
    extra == "external-runtime"
  • catboost==1.2.8[full-runtime]
    extra == "full-runtime"
  • catboost==1.2.8[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • category-encoders==2.6.4[all]
    extra == "all"
  • category-encoders==2.6.4[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • category-encoders==2.6.4[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • category-encoders==2.6.4[category-encoders]
    extra == "category-encoders"
  • category-encoders==2.6.4[external-runtime]
    extra == "external-runtime"
  • category-encoders==2.6.4[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • category-encoders==2.6.4[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • category-encoders==2.6.4[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • category-encoders==2.6.4[full-runtime]
    extra == "full-runtime"
  • category-encoders==2.6.4[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • certifi==2025.4.26[all]
    extra == "all"
  • certifi==2025.4.26[certifi]
    extra == "certifi"
  • certifi==2025.4.26[external-runtime]
    extra == "external-runtime"
  • certifi==2025.4.26[full-runtime]
    extra == "full-runtime"
  • certifi==2025.4.26[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • certifi==2025.4.26[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • certifi==2025.4.26[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • certifi==2025.4.26[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • certifi==2025.4.26[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • charset-normalizer==3.4.2[all]
    extra == "all"
  • charset-normalizer==3.4.2[charset-normalizer]
    extra == "charset-normalizer"
  • charset-normalizer==3.4.2[external-runtime]
    extra == "external-runtime"
  • charset-normalizer==3.4.2[full-runtime]
    extra == "full-runtime"
  • charset-normalizer==3.4.2[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • charset-normalizer==3.4.2[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • charset-normalizer==3.4.2[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • charset-normalizer==3.4.2[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • charset-normalizer==3.4.2[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • click==8.1.8[click]
    extra == "click"
  • click==8.1.8[external-runtime]
    extra == "external-runtime"
  • cloudpickle==3.1.1[all]
    extra == "all"
  • cloudpickle==3.1.1[cloudpickle]
    extra == "cloudpickle"
  • cloudpickle==3.1.1[external-runtime]
    extra == "external-runtime"
  • cloudpickle==3.1.1[full-runtime]
    extra == "full-runtime"
  • cloudpickle==3.1.1[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • cloudpickle==3.1.1[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • cloudpickle==3.1.1[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • cloudpickle==3.1.1[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • cloudpickle==3.1.1[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • cloudpickle==3.1.1[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • cloudpickle==3.1.1[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • cloudpickle==3.1.1[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • cloudpickle==3.1.1[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • cloudpickle==3.1.1[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • cloudpickle==3.1.1[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • cloudpickle==3.1.1[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • cloudpickle==3.1.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • coloredlogs==15.0.1[coloredlogs]
    extra == "coloredlogs"
  • coloredlogs==15.0.1[external-runtime]
    extra == "external-runtime"
  • colorlog==6.9.0[adagrad-classifier]
    extra == "adagrad-classifier"
  • colorlog==6.9.0[all]
    extra == "all"
  • colorlog==6.9.0[ard-regressor]
    extra == "ard-regressor"
  • colorlog==6.9.0[arima-forecaster]
    extra == "arima-forecaster"
  • colorlog==6.9.0[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • colorlog==6.9.0[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • colorlog==6.9.0[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • colorlog==6.9.0[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • colorlog==6.9.0[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • colorlog==6.9.0[catboost-classifier]
    extra == "catboost-classifier"
  • colorlog==6.9.0[catboost-regressor]
    extra == "catboost-regressor"
  • colorlog==6.9.0[cd-classifier]
    extra == "cd-classifier"
  • colorlog==6.9.0[cd-regressor]
    extra == "cd-regressor"
  • colorlog==6.9.0[colorlog]
    extra == "colorlog"
  • colorlog==6.9.0[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • colorlog==6.9.0[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • colorlog==6.9.0[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • colorlog==6.9.0[external-runtime]
    extra == "external-runtime"
  • colorlog==6.9.0[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • colorlog==6.9.0[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • colorlog==6.9.0[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • colorlog==6.9.0[fista-classifier]
    extra == "fista-classifier"
  • colorlog==6.9.0[fista-regressor]
    extra == "fista-regressor"
  • colorlog==6.9.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • colorlog==6.9.0[full-runtime]
    extra == "full-runtime"
  • colorlog==6.9.0[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • colorlog==6.9.0[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • colorlog==6.9.0[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • colorlog==6.9.0[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • colorlog==6.9.0[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • colorlog==6.9.0[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • colorlog==6.9.0[huber-regressor]
    extra == "huber-regressor"
  • colorlog==6.9.0[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • colorlog==6.9.0[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • colorlog==6.9.0[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • colorlog==6.9.0[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • colorlog==6.9.0[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • colorlog==6.9.0[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • colorlog==6.9.0[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • colorlog==6.9.0[lasso-regressor]
    extra == "lasso-regressor"
  • colorlog==6.9.0[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • colorlog==6.9.0[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • colorlog==6.9.0[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • colorlog==6.9.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • colorlog==6.9.0[linear-regressor]
    extra == "linear-regressor"
  • colorlog==6.9.0[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • colorlog==6.9.0[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • colorlog==6.9.0[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • colorlog==6.9.0[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • colorlog==6.9.0[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • colorlog==6.9.0[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • colorlog==6.9.0[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • colorlog==6.9.0[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • colorlog==6.9.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • colorlog==6.9.0[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • colorlog==6.9.0[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • colorlog==6.9.0[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • colorlog==6.9.0[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • colorlog==6.9.0[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • colorlog==6.9.0[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • colorlog==6.9.0[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • colorlog==6.9.0[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • colorlog==6.9.0[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • colorlog==6.9.0[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • colorlog==6.9.0[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • colorlog==6.9.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • colorlog==6.9.0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • colorlog==6.9.0[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • colorlog==6.9.0[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • colorlog==6.9.0[perceptron-classifier]
    extra == "perceptron-classifier"
  • colorlog==6.9.0[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • colorlog==6.9.0[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • colorlog==6.9.0[random-forest-classifier]
    extra == "random-forest-classifier"
  • colorlog==6.9.0[random-forest-regressor]
    extra == "random-forest-regressor"
  • colorlog==6.9.0[ridge-regressor]
    extra == "ridge-regressor"
  • colorlog==6.9.0[saga-classifier]
    extra == "saga-classifier"
  • colorlog==6.9.0[sdca-classifier]
    extra == "sdca-classifier"
  • colorlog==6.9.0[sgd-classifier]
    extra == "sgd-classifier"
  • colorlog==6.9.0[sgd-regressor]
    extra == "sgd-regressor"
  • colorlog==6.9.0[stacking-classifier]
    extra == "stacking-classifier"
  • colorlog==6.9.0[stacking-regressor]
    extra == "stacking-regressor"
  • colorlog==6.9.0[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • colorlog==6.9.0[svm-classifier]
    extra == "svm-classifier"
  • colorlog==6.9.0[svr-regressor]
    extra == "svr-regressor"
  • colorlog==6.9.0[svrg-classifier]
    extra == "svrg-classifier"
  • colorlog==6.9.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • colorlog==6.9.0[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • colorlog==6.9.0[xgboost-classifier]
    extra == "xgboost-classifier"
  • colorlog==6.9.0[xgboost-regressor]
    extra == "xgboost-regressor"
  • contourpy==1.3.0[all]
    extra == "all"
  • contourpy==1.3.0[catboost-classifier]
    extra == "catboost-classifier"
  • contourpy==1.3.0[catboost-regressor]
    extra == "catboost-regressor"
  • contourpy==1.3.0[contourpy]
    extra == "contourpy"
  • contourpy==1.3.0[external-runtime]
    extra == "external-runtime"
  • contourpy==1.3.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • contourpy==1.3.0[full-runtime]
    extra == "full-runtime"
  • contourpy==1.3.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • contourpy==1.3.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • contourpy==1.3.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • contractions==0.1.73[contractions]
    extra == "contractions"
  • contractions==0.1.73[external-runtime]
    extra == "external-runtime"
  • coreforecast==0.0.16[all]
    extra == "all"
  • coreforecast==0.0.16[coreforecast]
    extra == "coreforecast"
  • coreforecast==0.0.16[external-runtime]
    extra == "external-runtime"
  • coreforecast==0.0.16[full-runtime]
    extra == "full-runtime"
  • coreforecast==0.0.16[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • coreforecast==0.0.16[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • coreforecast==0.0.16[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • coreforecast==0.0.16[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • coreforecast==0.0.16[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • coreforecast==0.0.16[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • coreforecast==0.0.16[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • coreforecast==0.0.16[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • coreforecast==0.0.16[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • coreforecast==0.0.16[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • coreforecast==0.0.16[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • coreforecast==0.0.16[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • coreforecast==0.0.16[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • cvxopt==1.3.2[cvxopt]
    extra == "cvxopt"
  • cvxopt==1.3.2[external-runtime]
    extra == "external-runtime"
  • cvxopt==1.3.2[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • cvxopt==1.3.2[full-runtime]
    extra == "full-runtime"
  • cycler==0.12.1[all]
    extra == "all"
  • cycler==0.12.1[catboost-classifier]
    extra == "catboost-classifier"
  • cycler==0.12.1[catboost-regressor]
    extra == "catboost-regressor"
  • cycler==0.12.1[cycler]
    extra == "cycler"
  • cycler==0.12.1[external-runtime]
    extra == "external-runtime"
  • cycler==0.12.1[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • cycler==0.12.1[full-runtime]
    extra == "full-runtime"
  • cycler==0.12.1[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • cycler==0.12.1[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • cycler==0.12.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • cython==3.1.1[adagrad-classifier]
    extra == "adagrad-classifier"
  • cython==3.1.1[all]
    extra == "all"
  • cython==3.1.1[ard-regressor]
    extra == "ard-regressor"
  • cython==3.1.1[arima-forecaster]
    extra == "arima-forecaster"
  • cython==3.1.1[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • cython==3.1.1[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • cython==3.1.1[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • cython==3.1.1[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • cython==3.1.1[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • cython==3.1.1[catboost-classifier]
    extra == "catboost-classifier"
  • cython==3.1.1[catboost-regressor]
    extra == "catboost-regressor"
  • cython==3.1.1[cd-classifier]
    extra == "cd-classifier"
  • cython==3.1.1[cd-regressor]
    extra == "cd-regressor"
  • cython==3.1.1[cython]
    extra == "cython"
  • cython==3.1.1[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • cython==3.1.1[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • cython==3.1.1[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • cython==3.1.1[external-runtime]
    extra == "external-runtime"
  • cython==3.1.1[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • cython==3.1.1[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • cython==3.1.1[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • cython==3.1.1[fista-classifier]
    extra == "fista-classifier"
  • cython==3.1.1[fista-regressor]
    extra == "fista-regressor"
  • cython==3.1.1[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • cython==3.1.1[full-runtime]
    extra == "full-runtime"
  • cython==3.1.1[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • cython==3.1.1[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • cython==3.1.1[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • cython==3.1.1[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • cython==3.1.1[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • cython==3.1.1[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • cython==3.1.1[huber-regressor]
    extra == "huber-regressor"
  • cython==3.1.1[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • cython==3.1.1[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • cython==3.1.1[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • cython==3.1.1[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • cython==3.1.1[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • cython==3.1.1[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • cython==3.1.1[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • cython==3.1.1[lasso-regressor]
    extra == "lasso-regressor"
  • cython==3.1.1[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • cython==3.1.1[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • cython==3.1.1[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • cython==3.1.1[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • cython==3.1.1[linear-regressor]
    extra == "linear-regressor"
  • cython==3.1.1[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • cython==3.1.1[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • cython==3.1.1[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • cython==3.1.1[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • cython==3.1.1[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • cython==3.1.1[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • cython==3.1.1[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • cython==3.1.1[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • cython==3.1.1[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • cython==3.1.1[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • cython==3.1.1[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • cython==3.1.1[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • cython==3.1.1[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • cython==3.1.1[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • cython==3.1.1[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • cython==3.1.1[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • cython==3.1.1[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • cython==3.1.1[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • cython==3.1.1[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • cython==3.1.1[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • cython==3.1.1[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • cython==3.1.1[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • cython==3.1.1[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • cython==3.1.1[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • cython==3.1.1[perceptron-classifier]
    extra == "perceptron-classifier"
  • cython==3.1.1[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • cython==3.1.1[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • cython==3.1.1[random-forest-classifier]
    extra == "random-forest-classifier"
  • cython==3.1.1[random-forest-regressor]
    extra == "random-forest-regressor"
  • cython==3.1.1[ridge-regressor]
    extra == "ridge-regressor"
  • cython==3.1.1[saga-classifier]
    extra == "saga-classifier"
  • cython==3.1.1[sdca-classifier]
    extra == "sdca-classifier"
  • cython==3.1.1[sgd-classifier]
    extra == "sgd-classifier"
  • cython==3.1.1[sgd-regressor]
    extra == "sgd-regressor"
  • cython==3.1.1[stacking-classifier]
    extra == "stacking-classifier"
  • cython==3.1.1[stacking-regressor]
    extra == "stacking-regressor"
  • cython==3.1.1[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • cython==3.1.1[svm-classifier]
    extra == "svm-classifier"
  • cython==3.1.1[svr-regressor]
    extra == "svr-regressor"
  • cython==3.1.1[svrg-classifier]
    extra == "svrg-classifier"
  • cython==3.1.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • cython==3.1.1[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • cython==3.1.1[xgboost-classifier]
    extra == "xgboost-classifier"
  • cython==3.1.1[xgboost-regressor]
    extra == "xgboost-regressor"
  • daal==2024.5.0[all]
    extra == "all"
  • daal==2024.5.0[daal]
    extra == "daal"
  • daal==2024.5.0[external-runtime]
    extra == "external-runtime"
  • daal==2024.5.0[full-runtime]
    extra == "full-runtime"
  • daal==2024.5.0[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • daal==2024.5.0[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • daal==2024.5.0[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • daal==2024.5.0[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • daal==2024.5.0[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • daal==2024.5.0[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • daal==2024.5.0[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • daal==2024.5.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • daal4py==2024.5.0[all]
    extra == "all"
  • daal4py==2024.5.0[daal4py]
    extra == "daal4py"
  • daal4py==2024.5.0[external-runtime]
    extra == "external-runtime"
  • daal4py==2024.5.0[full-runtime]
    extra == "full-runtime"
  • daal4py==2024.5.0[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • daal4py==2024.5.0[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • daal4py==2024.5.0[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • daal4py==2024.5.0[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • daal4py==2024.5.0[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • daal4py==2024.5.0[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • daal4py==2024.5.0[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • daal4py==2024.5.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • darts==0.33.0[all]
    extra == "all"
  • darts==0.33.0[darts]
    extra == "darts"
  • darts==0.33.0[external-runtime]
    extra == "external-runtime"
  • darts==0.33.0[full-runtime]
    extra == "full-runtime"
  • darts==0.33.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • darts==0.33.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • darts==0.33.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • datasets==3.6.0[all]
    extra == "all"
  • datasets==3.6.0[datasets]
    extra == "datasets"
  • datasets==3.6.0[external-runtime]
    extra == "external-runtime"
  • datasets==3.6.0[full-runtime]
    extra == "full-runtime"
  • datasets==3.6.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • datasets==3.6.0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • datasets==3.6.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • dill==0.3.8[all]
    extra == "all"
  • dill==0.3.8[dill]
    extra == "dill"
  • dill==0.3.8[external-runtime]
    extra == "external-runtime"
  • dill==0.3.8[full-runtime]
    extra == "full-runtime"
  • dill==0.3.8[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • dill==0.3.8[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • dill==0.3.8[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • dnspython==2.7.0[dnspython]
    extra == "dnspython"
  • dnspython==2.7.0[external-runtime]
    extra == "external-runtime"
  • dnspython==2.7.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • dnspython==2.7.0[full-runtime]
    extra == "full-runtime"
  • email-validator==2.2.0[email-validator]
    extra == "email-validator"
  • email-validator==2.2.0[external-runtime]
    extra == "external-runtime"
  • email-validator==2.2.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • email-validator==2.2.0[full-runtime]
    extra == "full-runtime"
  • emot==3.1[emot]
    extra == "emot"
  • emot==3.1[external-runtime]
    extra == "external-runtime"
  • evoml-explain==2.0.3[evoml-explain]
    extra == "evoml-explain"
  • filelock==3.18.0[all]
    extra == "all"
  • filelock==3.18.0[external-runtime]
    extra == "external-runtime"
  • filelock==3.18.0[filelock]
    extra == "filelock"
  • filelock==3.18.0[full-runtime]
    extra == "full-runtime"
  • filelock==3.18.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • filelock==3.18.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • filelock==3.18.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • filelock==3.18.0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • filelock==3.18.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • flatbuffers==25.2.10[external-runtime]
    extra == "external-runtime"
  • flatbuffers==25.2.10[flatbuffers]
    extra == "flatbuffers"
  • fonttools==4.58.0[all]
    extra == "all"
  • fonttools==4.58.0[catboost-classifier]
    extra == "catboost-classifier"
  • fonttools==4.58.0[catboost-regressor]
    extra == "catboost-regressor"
  • fonttools==4.58.0[external-runtime]
    extra == "external-runtime"
  • fonttools==4.58.0[fonttools]
    extra == "fonttools"
  • fonttools==4.58.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • fonttools==4.58.0[full-runtime]
    extra == "full-runtime"
  • fonttools==4.58.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • fonttools==4.58.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • fonttools==4.58.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • frozendict==2.4.6[adagrad-classifier]
    extra == "adagrad-classifier"
  • frozendict==2.4.6[all]
    extra == "all"
  • frozendict==2.4.6[ard-regressor]
    extra == "ard-regressor"
  • frozendict==2.4.6[arima-forecaster]
    extra == "arima-forecaster"
  • frozendict==2.4.6[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • frozendict==2.4.6[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • frozendict==2.4.6[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • frozendict==2.4.6[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • frozendict==2.4.6[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • frozendict==2.4.6[catboost-classifier]
    extra == "catboost-classifier"
  • frozendict==2.4.6[catboost-regressor]
    extra == "catboost-regressor"
  • frozendict==2.4.6[cd-classifier]
    extra == "cd-classifier"
  • frozendict==2.4.6[cd-regressor]
    extra == "cd-regressor"
  • frozendict==2.4.6[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • frozendict==2.4.6[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • frozendict==2.4.6[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • frozendict==2.4.6[external-runtime]
    extra == "external-runtime"
  • frozendict==2.4.6[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • frozendict==2.4.6[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • frozendict==2.4.6[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • frozendict==2.4.6[fista-classifier]
    extra == "fista-classifier"
  • frozendict==2.4.6[fista-regressor]
    extra == "fista-regressor"
  • frozendict==2.4.6[frozendict]
    extra == "frozendict"
  • frozendict==2.4.6[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • frozendict==2.4.6[full-runtime]
    extra == "full-runtime"
  • frozendict==2.4.6[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • frozendict==2.4.6[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • frozendict==2.4.6[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • frozendict==2.4.6[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • frozendict==2.4.6[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • frozendict==2.4.6[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • frozendict==2.4.6[huber-regressor]
    extra == "huber-regressor"
  • frozendict==2.4.6[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • frozendict==2.4.6[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • frozendict==2.4.6[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • frozendict==2.4.6[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • frozendict==2.4.6[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • frozendict==2.4.6[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • frozendict==2.4.6[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • frozendict==2.4.6[lasso-regressor]
    extra == "lasso-regressor"
  • frozendict==2.4.6[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • frozendict==2.4.6[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • frozendict==2.4.6[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • frozendict==2.4.6[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • frozendict==2.4.6[linear-regressor]
    extra == "linear-regressor"
  • frozendict==2.4.6[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • frozendict==2.4.6[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • frozendict==2.4.6[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • frozendict==2.4.6[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • frozendict==2.4.6[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • frozendict==2.4.6[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • frozendict==2.4.6[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • frozendict==2.4.6[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • frozendict==2.4.6[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • frozendict==2.4.6[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • frozendict==2.4.6[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • frozendict==2.4.6[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • frozendict==2.4.6[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • frozendict==2.4.6[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • frozendict==2.4.6[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • frozendict==2.4.6[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • frozendict==2.4.6[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • frozendict==2.4.6[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • frozendict==2.4.6[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • frozendict==2.4.6[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • frozendict==2.4.6[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • frozendict==2.4.6[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • frozendict==2.4.6[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • frozendict==2.4.6[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • frozendict==2.4.6[perceptron-classifier]
    extra == "perceptron-classifier"
  • frozendict==2.4.6[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • frozendict==2.4.6[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • frozendict==2.4.6[random-forest-classifier]
    extra == "random-forest-classifier"
  • frozendict==2.4.6[random-forest-regressor]
    extra == "random-forest-regressor"
  • frozendict==2.4.6[ridge-regressor]
    extra == "ridge-regressor"
  • frozendict==2.4.6[saga-classifier]
    extra == "saga-classifier"
  • frozendict==2.4.6[sdca-classifier]
    extra == "sdca-classifier"
  • frozendict==2.4.6[sgd-classifier]
    extra == "sgd-classifier"
  • frozendict==2.4.6[sgd-regressor]
    extra == "sgd-regressor"
  • frozendict==2.4.6[stacking-classifier]
    extra == "stacking-classifier"
  • frozendict==2.4.6[stacking-regressor]
    extra == "stacking-regressor"
  • frozendict==2.4.6[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • frozendict==2.4.6[svm-classifier]
    extra == "svm-classifier"
  • frozendict==2.4.6[svr-regressor]
    extra == "svr-regressor"
  • frozendict==2.4.6[svrg-classifier]
    extra == "svrg-classifier"
  • frozendict==2.4.6[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • frozendict==2.4.6[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • frozendict==2.4.6[xgboost-classifier]
    extra == "xgboost-classifier"
  • frozendict==2.4.6[xgboost-regressor]
    extra == "xgboost-regressor"
  • frozenlist==1.6.0[frozenlist]
    extra == "frozenlist"
  • fs==2.4.16[all]
    extra == "all"
  • fs==2.4.16[external-runtime]
    extra == "external-runtime"
  • fs==2.4.16[fs]
    extra == "fs"
  • fs==2.4.16[full-runtime]
    extra == "full-runtime"
  • fs==2.4.16[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • fs==2.4.16[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • fs==2.4.16[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • fs==2.4.16[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • fs==2.4.16[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • fs==2.4.16[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • fs==2.4.16[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • fs==2.4.16[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • fs==2.4.16[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • fs==2.4.16[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • fs==2.4.16[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • fs==2.4.16[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • fs==2.4.16[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • fsspec==2025.3.0[all]
    extra == "all"
  • fsspec==2025.3.0[external-runtime]
    extra == "external-runtime"
  • fsspec==2025.3.0[fsspec]
    extra == "fsspec"
  • fsspec==2025.3.0[full-runtime]
    extra == "full-runtime"
  • fsspec==2025.3.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • fsspec==2025.3.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • fsspec==2025.3.0[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • fsspec==2025.3.0[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • fsspec==2025.3.0[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • fsspec==2025.3.0[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • fsspec==2025.3.0[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • fsspec==2025.3.0[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • fsspec==2025.3.0[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • fsspec==2025.3.0[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • fsspec==2025.3.0[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • fsspec==2025.3.0[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • fsspec==2025.3.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • fsspec==2025.3.0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • fsspec==2025.3.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • fugue==0.9.1[all]
    extra == "all"
  • fugue==0.9.1[external-runtime]
    extra == "external-runtime"
  • fugue==0.9.1[fugue]
    extra == "fugue"
  • fugue==0.9.1[full-runtime]
    extra == "full-runtime"
  • fugue==0.9.1[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • fugue==0.9.1[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • fugue==0.9.1[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • fugue==0.9.1[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • fugue==0.9.1[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • fugue==0.9.1[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • fugue==0.9.1[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • fugue==0.9.1[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • fugue==0.9.1[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • fugue==0.9.1[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • fugue==0.9.1[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • fugue==0.9.1[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • fugue==0.9.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • graphviz==0.20.3[all]
    extra == "all"
  • graphviz==0.20.3[catboost-classifier]
    extra == "catboost-classifier"
  • graphviz==0.20.3[catboost-regressor]
    extra == "catboost-regressor"
  • graphviz==0.20.3[external-runtime]
    extra == "external-runtime"
  • graphviz==0.20.3[full-runtime]
    extra == "full-runtime"
  • graphviz==0.20.3[graphviz]
    extra == "graphviz"
  • graphviz==0.20.3[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • greenlet==3.2.2[adagrad-classifier]
    extra == "adagrad-classifier"
  • greenlet==3.2.2[all]
    extra == "all"
  • greenlet==3.2.2[ard-regressor]
    extra == "ard-regressor"
  • greenlet==3.2.2[arima-forecaster]
    extra == "arima-forecaster"
  • greenlet==3.2.2[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • greenlet==3.2.2[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • greenlet==3.2.2[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • greenlet==3.2.2[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • greenlet==3.2.2[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • greenlet==3.2.2[catboost-classifier]
    extra == "catboost-classifier"
  • greenlet==3.2.2[catboost-regressor]
    extra == "catboost-regressor"
  • greenlet==3.2.2[cd-classifier]
    extra == "cd-classifier"
  • greenlet==3.2.2[cd-regressor]
    extra == "cd-regressor"
  • greenlet==3.2.2[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • greenlet==3.2.2[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • greenlet==3.2.2[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • greenlet==3.2.2[external-runtime]
    extra == "external-runtime"
  • greenlet==3.2.2[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • greenlet==3.2.2[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • greenlet==3.2.2[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • greenlet==3.2.2[fista-classifier]
    extra == "fista-classifier"
  • greenlet==3.2.2[fista-regressor]
    extra == "fista-regressor"
  • greenlet==3.2.2[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • greenlet==3.2.2[full-runtime]
    extra == "full-runtime"
  • greenlet==3.2.2[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • greenlet==3.2.2[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • greenlet==3.2.2[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • greenlet==3.2.2[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • greenlet==3.2.2[greenlet]
    extra == "greenlet"
  • greenlet==3.2.2[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • greenlet==3.2.2[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • greenlet==3.2.2[huber-regressor]
    extra == "huber-regressor"
  • greenlet==3.2.2[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • greenlet==3.2.2[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • greenlet==3.2.2[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • greenlet==3.2.2[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • greenlet==3.2.2[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • greenlet==3.2.2[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • greenlet==3.2.2[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • greenlet==3.2.2[lasso-regressor]
    extra == "lasso-regressor"
  • greenlet==3.2.2[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • greenlet==3.2.2[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • greenlet==3.2.2[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • greenlet==3.2.2[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • greenlet==3.2.2[linear-regressor]
    extra == "linear-regressor"
  • greenlet==3.2.2[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • greenlet==3.2.2[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • greenlet==3.2.2[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • greenlet==3.2.2[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • greenlet==3.2.2[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • greenlet==3.2.2[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • greenlet==3.2.2[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • greenlet==3.2.2[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • greenlet==3.2.2[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • greenlet==3.2.2[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • greenlet==3.2.2[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • greenlet==3.2.2[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • greenlet==3.2.2[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • greenlet==3.2.2[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • greenlet==3.2.2[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • greenlet==3.2.2[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • greenlet==3.2.2[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • greenlet==3.2.2[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • greenlet==3.2.2[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • greenlet==3.2.2[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • greenlet==3.2.2[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • greenlet==3.2.2[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • greenlet==3.2.2[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • greenlet==3.2.2[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • greenlet==3.2.2[perceptron-classifier]
    extra == "perceptron-classifier"
  • greenlet==3.2.2[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • greenlet==3.2.2[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • greenlet==3.2.2[random-forest-classifier]
    extra == "random-forest-classifier"
  • greenlet==3.2.2[random-forest-regressor]
    extra == "random-forest-regressor"
  • greenlet==3.2.2[ridge-regressor]
    extra == "ridge-regressor"
  • greenlet==3.2.2[saga-classifier]
    extra == "saga-classifier"
  • greenlet==3.2.2[sdca-classifier]
    extra == "sdca-classifier"
  • greenlet==3.2.2[sgd-classifier]
    extra == "sgd-classifier"
  • greenlet==3.2.2[sgd-regressor]
    extra == "sgd-regressor"
  • greenlet==3.2.2[stacking-classifier]
    extra == "stacking-classifier"
  • greenlet==3.2.2[stacking-regressor]
    extra == "stacking-regressor"
  • greenlet==3.2.2[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • greenlet==3.2.2[svm-classifier]
    extra == "svm-classifier"
  • greenlet==3.2.2[svr-regressor]
    extra == "svr-regressor"
  • greenlet==3.2.2[svrg-classifier]
    extra == "svrg-classifier"
  • greenlet==3.2.2[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • greenlet==3.2.2[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • greenlet==3.2.2[xgboost-classifier]
    extra == "xgboost-classifier"
  • greenlet==3.2.2[xgboost-regressor]
    extra == "xgboost-regressor"
  • hf-xet==1.1.2[all]
    extra == "all"
  • hf-xet==1.1.2[external-runtime]
    extra == "external-runtime"
  • hf-xet==1.1.2[full-runtime]
    extra == "full-runtime"
  • hf-xet==1.1.2[hf-xet]
    extra == "hf-xet"
  • hf-xet==1.1.2[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • hf-xet==1.1.2[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • hf-xet==1.1.2[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • holidays==0.65[all]
    extra == "all"
  • holidays==0.65[external-runtime]
    extra == "external-runtime"
  • holidays==0.65[full-runtime]
    extra == "full-runtime"
  • holidays==0.65[holidays]
    extra == "holidays"
  • holidays==0.65[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • holidays==0.65[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • holidays==0.65[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • huggingface-hub==0.32.0[all]
    extra == "all"
  • huggingface-hub==0.32.0[external-runtime]
    extra == "external-runtime"
  • huggingface-hub==0.32.0[full-runtime]
    extra == "full-runtime"
  • huggingface-hub==0.32.0[huggingface-hub]
    extra == "huggingface-hub"
  • huggingface-hub==0.32.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • huggingface-hub==0.32.0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • huggingface-hub==0.32.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • humanfriendly==10.0[external-runtime]
    extra == "external-runtime"
  • humanfriendly==10.0[humanfriendly]
    extra == "humanfriendly"
  • idna==3.10[all]
    extra == "all"
  • idna==3.10[external-runtime]
    extra == "external-runtime"
  • idna==3.10[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • idna==3.10[full-runtime]
    extra == "full-runtime"
  • idna==3.10[idna]
    extra == "idna"
  • idna==3.10[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • idna==3.10[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • idna==3.10[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • idna==3.10[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • idna==3.10[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • imageio==2.37.0[imageio]
    extra == "imageio"
  • importlib-resources==6.5.2[all]
    extra == "all"
  • importlib-resources==6.5.2[catboost-classifier]
    extra == "catboost-classifier"
  • importlib-resources==6.5.2[catboost-regressor]
    extra == "catboost-regressor"
  • importlib-resources==6.5.2[external-runtime]
    extra == "external-runtime"
  • importlib-resources==6.5.2[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • importlib-resources==6.5.2[full-runtime]
    extra == "full-runtime"
  • importlib-resources==6.5.2[importlib-resources]
    extra == "importlib-resources"
  • importlib-resources==6.5.2[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • importlib-resources==6.5.2[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • importlib-resources==6.5.2[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • jinja2==3.1.6[all]
    extra == "all"
  • jinja2==3.1.6[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • jinja2==3.1.6[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • jinja2==3.1.6[external-runtime]
    extra == "external-runtime"
  • jinja2==3.1.6[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • jinja2==3.1.6[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • jinja2==3.1.6[full-runtime]
    extra == "full-runtime"
  • jinja2==3.1.6[jinja2]
    extra == "jinja2"
  • jinja2==3.1.6[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • jinja2==3.1.6[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • jinja2==3.1.6[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • jinja2==3.1.6[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • joblib==1.4.2[adagrad-classifier]
    extra == "adagrad-classifier"
  • joblib==1.4.2[all]
    extra == "all"
  • joblib==1.4.2[ard-regressor]
    extra == "ard-regressor"
  • joblib==1.4.2[arima-forecaster]
    extra == "arima-forecaster"
  • joblib==1.4.2[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • joblib==1.4.2[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • joblib==1.4.2[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • joblib==1.4.2[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • joblib==1.4.2[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • joblib==1.4.2[catboost-classifier]
    extra == "catboost-classifier"
  • joblib==1.4.2[catboost-regressor]
    extra == "catboost-regressor"
  • joblib==1.4.2[cd-classifier]
    extra == "cd-classifier"
  • joblib==1.4.2[cd-regressor]
    extra == "cd-regressor"
  • joblib==1.4.2[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • joblib==1.4.2[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • joblib==1.4.2[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • joblib==1.4.2[external-runtime]
    extra == "external-runtime"
  • joblib==1.4.2[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • joblib==1.4.2[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • joblib==1.4.2[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • joblib==1.4.2[fista-classifier]
    extra == "fista-classifier"
  • joblib==1.4.2[fista-regressor]
    extra == "fista-regressor"
  • joblib==1.4.2[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • joblib==1.4.2[full-runtime]
    extra == "full-runtime"
  • joblib==1.4.2[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • joblib==1.4.2[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • joblib==1.4.2[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • joblib==1.4.2[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • joblib==1.4.2[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • joblib==1.4.2[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • joblib==1.4.2[huber-regressor]
    extra == "huber-regressor"
  • joblib==1.4.2[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • joblib==1.4.2[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • joblib==1.4.2[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • joblib==1.4.2[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • joblib==1.4.2[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • joblib==1.4.2[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • joblib==1.4.2[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • joblib==1.4.2[joblib]
    extra == "joblib"
  • joblib==1.4.2[lasso-regressor]
    extra == "lasso-regressor"
  • joblib==1.4.2[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • joblib==1.4.2[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • joblib==1.4.2[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • joblib==1.4.2[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • joblib==1.4.2[linear-regressor]
    extra == "linear-regressor"
  • joblib==1.4.2[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • joblib==1.4.2[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • joblib==1.4.2[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • joblib==1.4.2[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • joblib==1.4.2[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • joblib==1.4.2[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • joblib==1.4.2[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • joblib==1.4.2[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • joblib==1.4.2[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • joblib==1.4.2[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • joblib==1.4.2[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • joblib==1.4.2[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • joblib==1.4.2[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • joblib==1.4.2[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • joblib==1.4.2[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • joblib==1.4.2[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • joblib==1.4.2[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • joblib==1.4.2[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • joblib==1.4.2[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • joblib==1.4.2[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • joblib==1.4.2[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • joblib==1.4.2[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • joblib==1.4.2[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • joblib==1.4.2[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • joblib==1.4.2[perceptron-classifier]
    extra == "perceptron-classifier"
  • joblib==1.4.2[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • joblib==1.4.2[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • joblib==1.4.2[random-forest-classifier]
    extra == "random-forest-classifier"
  • joblib==1.4.2[random-forest-regressor]
    extra == "random-forest-regressor"
  • joblib==1.4.2[ridge-regressor]
    extra == "ridge-regressor"
  • joblib==1.4.2[saga-classifier]
    extra == "saga-classifier"
  • joblib==1.4.2[sdca-classifier]
    extra == "sdca-classifier"
  • joblib==1.4.2[sgd-classifier]
    extra == "sgd-classifier"
  • joblib==1.4.2[sgd-regressor]
    extra == "sgd-regressor"
  • joblib==1.4.2[stacking-classifier]
    extra == "stacking-classifier"
  • joblib==1.4.2[stacking-regressor]
    extra == "stacking-regressor"
  • joblib==1.4.2[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • joblib==1.4.2[svm-classifier]
    extra == "svm-classifier"
  • joblib==1.4.2[svr-regressor]
    extra == "svr-regressor"
  • joblib==1.4.2[svrg-classifier]
    extra == "svrg-classifier"
  • joblib==1.4.2[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • joblib==1.4.2[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • joblib==1.4.2[xgboost-classifier]
    extra == "xgboost-classifier"
  • joblib==1.4.2[xgboost-regressor]
    extra == "xgboost-regressor"
  • kiwisolver==1.4.7[all]
    extra == "all"
  • kiwisolver==1.4.7[catboost-classifier]
    extra == "catboost-classifier"
  • kiwisolver==1.4.7[catboost-regressor]
    extra == "catboost-regressor"
  • kiwisolver==1.4.7[external-runtime]
    extra == "external-runtime"
  • kiwisolver==1.4.7[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • kiwisolver==1.4.7[full-runtime]
    extra == "full-runtime"
  • kiwisolver==1.4.7[kiwisolver]
    extra == "kiwisolver"
  • kiwisolver==1.4.7[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • kiwisolver==1.4.7[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • kiwisolver==1.4.7[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • lazy-loader==0.4[lazy-loader]
    extra == "lazy-loader"
  • lightgbm==4.4.0[all]
    extra == "all"
  • lightgbm==4.4.0[external-runtime]
    extra == "external-runtime"
  • lightgbm==4.4.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • lightgbm==4.4.0[full-runtime]
    extra == "full-runtime"
  • lightgbm==4.4.0[lightgbm]
    extra == "lightgbm"
  • lightgbm==4.4.0[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • lightgbm==4.4.0[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • lightgbm==4.4.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • lightning-utilities==0.14.3[all]
    extra == "all"
  • lightning-utilities==0.14.3[external-runtime]
    extra == "external-runtime"
  • lightning-utilities==0.14.3[full-runtime]
    extra == "full-runtime"
  • lightning-utilities==0.14.3[lightning-utilities]
    extra == "lightning-utilities"
  • lightning-utilities==0.14.3[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • lightning-utilities==0.14.3[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • lightning-utilities==0.14.3[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • lime==0.2.0.1[lime]
    extra == "lime"
  • llvmlite==0.43.0[all]
    extra == "all"
  • llvmlite==0.43.0[external-runtime]
    extra == "external-runtime"
  • llvmlite==0.43.0[full-runtime]
    extra == "full-runtime"
  • llvmlite==0.43.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • llvmlite==0.43.0[llvmlite]
    extra == "llvmlite"
  • llvmlite==0.43.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • llvmlite==0.43.0[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • llvmlite==0.43.0[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • llvmlite==0.43.0[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • llvmlite==0.43.0[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • llvmlite==0.43.0[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • llvmlite==0.43.0[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • llvmlite==0.43.0[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • llvmlite==0.43.0[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • llvmlite==0.43.0[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • llvmlite==0.43.0[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • llvmlite==0.43.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • loguru==0.7.3[external-runtime]
    extra == "external-runtime"
  • loguru==0.7.3[full-runtime]
    extra == "full-runtime"
  • loguru==0.7.3[loguru]
    extra == "loguru"
  • mako==1.3.10[adagrad-classifier]
    extra == "adagrad-classifier"
  • mako==1.3.10[all]
    extra == "all"
  • mako==1.3.10[ard-regressor]
    extra == "ard-regressor"
  • mako==1.3.10[arima-forecaster]
    extra == "arima-forecaster"
  • mako==1.3.10[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • mako==1.3.10[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • mako==1.3.10[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • mako==1.3.10[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • mako==1.3.10[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • mako==1.3.10[catboost-classifier]
    extra == "catboost-classifier"
  • mako==1.3.10[catboost-regressor]
    extra == "catboost-regressor"
  • mako==1.3.10[cd-classifier]
    extra == "cd-classifier"
  • mako==1.3.10[cd-regressor]
    extra == "cd-regressor"
  • mako==1.3.10[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • mako==1.3.10[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • mako==1.3.10[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • mako==1.3.10[external-runtime]
    extra == "external-runtime"
  • mako==1.3.10[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • mako==1.3.10[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • mako==1.3.10[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • mako==1.3.10[fista-classifier]
    extra == "fista-classifier"
  • mako==1.3.10[fista-regressor]
    extra == "fista-regressor"
  • mako==1.3.10[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • mako==1.3.10[full-runtime]
    extra == "full-runtime"
  • mako==1.3.10[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • mako==1.3.10[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • mako==1.3.10[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • mako==1.3.10[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • mako==1.3.10[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • mako==1.3.10[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • mako==1.3.10[huber-regressor]
    extra == "huber-regressor"
  • mako==1.3.10[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • mako==1.3.10[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • mako==1.3.10[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • mako==1.3.10[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • mako==1.3.10[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • mako==1.3.10[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • mako==1.3.10[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • mako==1.3.10[lasso-regressor]
    extra == "lasso-regressor"
  • mako==1.3.10[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • mako==1.3.10[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • mako==1.3.10[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • mako==1.3.10[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • mako==1.3.10[linear-regressor]
    extra == "linear-regressor"
  • mako==1.3.10[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • mako==1.3.10[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • mako==1.3.10[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • mako==1.3.10[mako]
    extra == "mako"
  • mako==1.3.10[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • mako==1.3.10[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • mako==1.3.10[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • mako==1.3.10[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • mako==1.3.10[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • mako==1.3.10[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • mako==1.3.10[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • mako==1.3.10[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • mako==1.3.10[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • mako==1.3.10[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • mako==1.3.10[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • mako==1.3.10[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • mako==1.3.10[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • mako==1.3.10[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • mako==1.3.10[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • mako==1.3.10[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • mako==1.3.10[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • mako==1.3.10[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • mako==1.3.10[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • mako==1.3.10[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • mako==1.3.10[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • mako==1.3.10[perceptron-classifier]
    extra == "perceptron-classifier"
  • mako==1.3.10[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • mako==1.3.10[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • mako==1.3.10[random-forest-classifier]
    extra == "random-forest-classifier"
  • mako==1.3.10[random-forest-regressor]
    extra == "random-forest-regressor"
  • mako==1.3.10[ridge-regressor]
    extra == "ridge-regressor"
  • mako==1.3.10[saga-classifier]
    extra == "saga-classifier"
  • mako==1.3.10[sdca-classifier]
    extra == "sdca-classifier"
  • mako==1.3.10[sgd-classifier]
    extra == "sgd-classifier"
  • mako==1.3.10[sgd-regressor]
    extra == "sgd-regressor"
  • mako==1.3.10[stacking-classifier]
    extra == "stacking-classifier"
  • mako==1.3.10[stacking-regressor]
    extra == "stacking-regressor"
  • mako==1.3.10[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • mako==1.3.10[svm-classifier]
    extra == "svm-classifier"
  • mako==1.3.10[svr-regressor]
    extra == "svr-regressor"
  • mako==1.3.10[svrg-classifier]
    extra == "svrg-classifier"
  • mako==1.3.10[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • mako==1.3.10[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • mako==1.3.10[xgboost-classifier]
    extra == "xgboost-classifier"
  • mako==1.3.10[xgboost-regressor]
    extra == "xgboost-regressor"
  • markupsafe==3.0.2[adagrad-classifier]
    extra == "adagrad-classifier"
  • markupsafe==3.0.2[all]
    extra == "all"
  • markupsafe==3.0.2[ard-regressor]
    extra == "ard-regressor"
  • markupsafe==3.0.2[arima-forecaster]
    extra == "arima-forecaster"
  • markupsafe==3.0.2[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • markupsafe==3.0.2[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • markupsafe==3.0.2[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • markupsafe==3.0.2[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • markupsafe==3.0.2[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • markupsafe==3.0.2[catboost-classifier]
    extra == "catboost-classifier"
  • markupsafe==3.0.2[catboost-regressor]
    extra == "catboost-regressor"
  • markupsafe==3.0.2[cd-classifier]
    extra == "cd-classifier"
  • markupsafe==3.0.2[cd-regressor]
    extra == "cd-regressor"
  • markupsafe==3.0.2[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • markupsafe==3.0.2[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • markupsafe==3.0.2[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • markupsafe==3.0.2[external-runtime]
    extra == "external-runtime"
  • markupsafe==3.0.2[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • markupsafe==3.0.2[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • markupsafe==3.0.2[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • markupsafe==3.0.2[fista-classifier]
    extra == "fista-classifier"
  • markupsafe==3.0.2[fista-regressor]
    extra == "fista-regressor"
  • markupsafe==3.0.2[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • markupsafe==3.0.2[full-runtime]
    extra == "full-runtime"
  • markupsafe==3.0.2[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • markupsafe==3.0.2[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • markupsafe==3.0.2[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • markupsafe==3.0.2[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • markupsafe==3.0.2[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • markupsafe==3.0.2[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • markupsafe==3.0.2[huber-regressor]
    extra == "huber-regressor"
  • markupsafe==3.0.2[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • markupsafe==3.0.2[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • markupsafe==3.0.2[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • markupsafe==3.0.2[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • markupsafe==3.0.2[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • markupsafe==3.0.2[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • markupsafe==3.0.2[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • markupsafe==3.0.2[lasso-regressor]
    extra == "lasso-regressor"
  • markupsafe==3.0.2[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • markupsafe==3.0.2[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • markupsafe==3.0.2[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • markupsafe==3.0.2[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • markupsafe==3.0.2[linear-regressor]
    extra == "linear-regressor"
  • markupsafe==3.0.2[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • markupsafe==3.0.2[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • markupsafe==3.0.2[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • markupsafe==3.0.2[markupsafe]
    extra == "markupsafe"
  • markupsafe==3.0.2[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • markupsafe==3.0.2[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • markupsafe==3.0.2[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • markupsafe==3.0.2[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • markupsafe==3.0.2[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • markupsafe==3.0.2[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • markupsafe==3.0.2[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • markupsafe==3.0.2[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • markupsafe==3.0.2[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • markupsafe==3.0.2[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • markupsafe==3.0.2[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • markupsafe==3.0.2[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • markupsafe==3.0.2[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • markupsafe==3.0.2[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • markupsafe==3.0.2[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • markupsafe==3.0.2[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • markupsafe==3.0.2[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • markupsafe==3.0.2[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • markupsafe==3.0.2[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • markupsafe==3.0.2[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • markupsafe==3.0.2[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • markupsafe==3.0.2[perceptron-classifier]
    extra == "perceptron-classifier"
  • markupsafe==3.0.2[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • markupsafe==3.0.2[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • markupsafe==3.0.2[random-forest-classifier]
    extra == "random-forest-classifier"
  • markupsafe==3.0.2[random-forest-regressor]
    extra == "random-forest-regressor"
  • markupsafe==3.0.2[ridge-regressor]
    extra == "ridge-regressor"
  • markupsafe==3.0.2[saga-classifier]
    extra == "saga-classifier"
  • markupsafe==3.0.2[sdca-classifier]
    extra == "sdca-classifier"
  • markupsafe==3.0.2[sgd-classifier]
    extra == "sgd-classifier"
  • markupsafe==3.0.2[sgd-regressor]
    extra == "sgd-regressor"
  • markupsafe==3.0.2[stacking-classifier]
    extra == "stacking-classifier"
  • markupsafe==3.0.2[stacking-regressor]
    extra == "stacking-regressor"
  • markupsafe==3.0.2[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • markupsafe==3.0.2[svm-classifier]
    extra == "svm-classifier"
  • markupsafe==3.0.2[svr-regressor]
    extra == "svr-regressor"
  • markupsafe==3.0.2[svrg-classifier]
    extra == "svrg-classifier"
  • markupsafe==3.0.2[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • markupsafe==3.0.2[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • markupsafe==3.0.2[xgboost-classifier]
    extra == "xgboost-classifier"
  • markupsafe==3.0.2[xgboost-regressor]
    extra == "xgboost-regressor"
  • matplotlib==3.9.4[all]
    extra == "all"
  • matplotlib==3.9.4[catboost-classifier]
    extra == "catboost-classifier"
  • matplotlib==3.9.4[catboost-regressor]
    extra == "catboost-regressor"
  • matplotlib==3.9.4[external-runtime]
    extra == "external-runtime"
  • matplotlib==3.9.4[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • matplotlib==3.9.4[full-runtime]
    extra == "full-runtime"
  • matplotlib==3.9.4[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • matplotlib==3.9.4[matplotlib]
    extra == "matplotlib"
  • matplotlib==3.9.4[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • matplotlib==3.9.4[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • mlxtend==0.23.4[external-runtime]
    extra == "external-runtime"
  • mlxtend==0.23.4[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • mlxtend==0.23.4[full-runtime]
    extra == "full-runtime"
  • mlxtend==0.23.4[mlxtend]
    extra == "mlxtend"
  • mpmath==1.3.0[all]
    extra == "all"
  • mpmath==1.3.0[external-runtime]
    extra == "external-runtime"
  • mpmath==1.3.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • mpmath==1.3.0[full-runtime]
    extra == "full-runtime"
  • mpmath==1.3.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • mpmath==1.3.0[mpmath]
    extra == "mpmath"
  • mpmath==1.3.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • mpmath==1.3.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • mpmath==1.3.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • mrmr-selection==0.2.8[all]
    extra == "all"
  • mrmr-selection==0.2.8[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • mrmr-selection==0.2.8[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • mrmr-selection==0.2.8[external-runtime]
    extra == "external-runtime"
  • mrmr-selection==0.2.8[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • mrmr-selection==0.2.8[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • mrmr-selection==0.2.8[full-runtime]
    extra == "full-runtime"
  • mrmr-selection==0.2.8[mrmr-selection]
    extra == "mrmr-selection"
  • mrmr-selection==0.2.8[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • multidict==6.4.4[multidict]
    extra == "multidict"
  • multiprocess==0.70.16[all]
    extra == "all"
  • multiprocess==0.70.16[external-runtime]
    extra == "external-runtime"
  • multiprocess==0.70.16[full-runtime]
    extra == "full-runtime"
  • multiprocess==0.70.16[multiprocess]
    extra == "multiprocess"
  • multiprocess==0.70.16[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • multiprocess==0.70.16[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • multiprocess==0.70.16[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • narwhals==1.40.0[all]
    extra == "all"
  • narwhals==1.40.0[catboost-classifier]
    extra == "catboost-classifier"
  • narwhals==1.40.0[catboost-regressor]
    extra == "catboost-regressor"
  • narwhals==1.40.0[external-runtime]
    extra == "external-runtime"
  • narwhals==1.40.0[full-runtime]
    extra == "full-runtime"
  • narwhals==1.40.0[narwhals]
    extra == "narwhals"
  • narwhals==1.40.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • networkx==3.2.1[adagrad-classifier]
    extra == "adagrad-classifier"
  • networkx==3.2.1[all]
    extra == "all"
  • networkx==3.2.1[ard-regressor]
    extra == "ard-regressor"
  • networkx==3.2.1[arima-forecaster]
    extra == "arima-forecaster"
  • networkx==3.2.1[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • networkx==3.2.1[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • networkx==3.2.1[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • networkx==3.2.1[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • networkx==3.2.1[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • networkx==3.2.1[catboost-classifier]
    extra == "catboost-classifier"
  • networkx==3.2.1[catboost-regressor]
    extra == "catboost-regressor"
  • networkx==3.2.1[cd-classifier]
    extra == "cd-classifier"
  • networkx==3.2.1[cd-regressor]
    extra == "cd-regressor"
  • networkx==3.2.1[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • networkx==3.2.1[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • networkx==3.2.1[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • networkx==3.2.1[external-runtime]
    extra == "external-runtime"
  • networkx==3.2.1[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • networkx==3.2.1[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • networkx==3.2.1[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • networkx==3.2.1[fista-classifier]
    extra == "fista-classifier"
  • networkx==3.2.1[fista-regressor]
    extra == "fista-regressor"
  • networkx==3.2.1[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • networkx==3.2.1[full-runtime]
    extra == "full-runtime"
  • networkx==3.2.1[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • networkx==3.2.1[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • networkx==3.2.1[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • networkx==3.2.1[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • networkx==3.2.1[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • networkx==3.2.1[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • networkx==3.2.1[huber-regressor]
    extra == "huber-regressor"
  • networkx==3.2.1[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • networkx==3.2.1[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • networkx==3.2.1[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • networkx==3.2.1[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • networkx==3.2.1[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • networkx==3.2.1[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • networkx==3.2.1[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • networkx==3.2.1[lasso-regressor]
    extra == "lasso-regressor"
  • networkx==3.2.1[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • networkx==3.2.1[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • networkx==3.2.1[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • networkx==3.2.1[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • networkx==3.2.1[linear-regressor]
    extra == "linear-regressor"
  • networkx==3.2.1[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • networkx==3.2.1[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • networkx==3.2.1[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • networkx==3.2.1[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • networkx==3.2.1[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • networkx==3.2.1[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • networkx==3.2.1[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • networkx==3.2.1[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • networkx==3.2.1[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • networkx==3.2.1[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • networkx==3.2.1[networkx]
    extra == "networkx"
  • networkx==3.2.1[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • networkx==3.2.1[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • networkx==3.2.1[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • networkx==3.2.1[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • networkx==3.2.1[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • networkx==3.2.1[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • networkx==3.2.1[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • networkx==3.2.1[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • networkx==3.2.1[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • networkx==3.2.1[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • networkx==3.2.1[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • networkx==3.2.1[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • networkx==3.2.1[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • networkx==3.2.1[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • networkx==3.2.1[perceptron-classifier]
    extra == "perceptron-classifier"
  • networkx==3.2.1[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • networkx==3.2.1[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • networkx==3.2.1[random-forest-classifier]
    extra == "random-forest-classifier"
  • networkx==3.2.1[random-forest-regressor]
    extra == "random-forest-regressor"
  • networkx==3.2.1[ridge-regressor]
    extra == "ridge-regressor"
  • networkx==3.2.1[saga-classifier]
    extra == "saga-classifier"
  • networkx==3.2.1[sdca-classifier]
    extra == "sdca-classifier"
  • networkx==3.2.1[sgd-classifier]
    extra == "sgd-classifier"
  • networkx==3.2.1[sgd-regressor]
    extra == "sgd-regressor"
  • networkx==3.2.1[stacking-classifier]
    extra == "stacking-classifier"
  • networkx==3.2.1[stacking-regressor]
    extra == "stacking-regressor"
  • networkx==3.2.1[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • networkx==3.2.1[svm-classifier]
    extra == "svm-classifier"
  • networkx==3.2.1[svr-regressor]
    extra == "svr-regressor"
  • networkx==3.2.1[svrg-classifier]
    extra == "svrg-classifier"
  • networkx==3.2.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • networkx==3.2.1[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • networkx==3.2.1[xgboost-classifier]
    extra == "xgboost-classifier"
  • networkx==3.2.1[xgboost-regressor]
    extra == "xgboost-regressor"
  • nfoursid==1.0.1[all]
    extra == "all"
  • nfoursid==1.0.1[external-runtime]
    extra == "external-runtime"
  • nfoursid==1.0.1[full-runtime]
    extra == "full-runtime"
  • nfoursid==1.0.1[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • nfoursid==1.0.1[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • nfoursid==1.0.1[nfoursid]
    extra == "nfoursid"
  • nfoursid==1.0.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • numba==0.60.0[all]
    extra == "all"
  • numba==0.60.0[external-runtime]
    extra == "external-runtime"
  • numba==0.60.0[full-runtime]
    extra == "full-runtime"
  • numba==0.60.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • numba==0.60.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • numba==0.60.0[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • numba==0.60.0[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • numba==0.60.0[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • numba==0.60.0[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • numba==0.60.0[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • numba==0.60.0[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • numba==0.60.0[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • numba==0.60.0[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • numba==0.60.0[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • numba==0.60.0[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • numba==0.60.0[numba]
    extra == "numba"
  • numba==0.60.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • numpy==1.24.4[adagrad-classifier]
    extra == "adagrad-classifier"
  • numpy==1.24.4[all]
    extra == "all"
  • numpy==1.24.4[ard-regressor]
    extra == "ard-regressor"
  • numpy==1.24.4[arima-forecaster]
    extra == "arima-forecaster"
  • numpy==1.24.4[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • numpy==1.24.4[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • numpy==1.24.4[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • numpy==1.24.4[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • numpy==1.24.4[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • numpy==1.24.4[catboost-classifier]
    extra == "catboost-classifier"
  • numpy==1.24.4[catboost-regressor]
    extra == "catboost-regressor"
  • numpy==1.24.4[cd-classifier]
    extra == "cd-classifier"
  • numpy==1.24.4[cd-regressor]
    extra == "cd-regressor"
  • numpy==1.24.4[data-science]
    extra == "data-science"
  • numpy==1.24.4[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • numpy==1.24.4[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • numpy==1.24.4[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • numpy==1.24.4[external-runtime]
    extra == "external-runtime"
  • numpy==1.24.4[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • numpy==1.24.4[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • numpy==1.24.4[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • numpy==1.24.4[fista-classifier]
    extra == "fista-classifier"
  • numpy==1.24.4[fista-regressor]
    extra == "fista-regressor"
  • numpy==1.24.4[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • numpy==1.24.4[full-runtime]
    extra == "full-runtime"
  • numpy==1.24.4[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • numpy==1.24.4[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • numpy==1.24.4[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • numpy==1.24.4[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • numpy==1.24.4[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • numpy==1.24.4[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • numpy==1.24.4[huber-regressor]
    extra == "huber-regressor"
  • numpy==1.24.4[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • numpy==1.24.4[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • numpy==1.24.4[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • numpy==1.24.4[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • numpy==1.24.4[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • numpy==1.24.4[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • numpy==1.24.4[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • numpy==1.24.4[lasso-regressor]
    extra == "lasso-regressor"
  • numpy==1.24.4[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • numpy==1.24.4[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • numpy==1.24.4[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • numpy==1.24.4[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • numpy==1.24.4[linear-regressor]
    extra == "linear-regressor"
  • numpy==1.24.4[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • numpy==1.24.4[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • numpy==1.24.4[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • numpy==1.24.4[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • numpy==1.24.4[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • numpy==1.24.4[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • numpy==1.24.4[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • numpy==1.24.4[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • numpy==1.24.4[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • numpy==1.24.4[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • numpy==1.24.4[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • numpy==1.24.4[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • numpy==1.24.4[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • numpy==1.24.4[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • numpy==1.24.4[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • numpy==1.24.4[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • numpy==1.24.4[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • numpy==1.24.4[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • numpy==1.24.4[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • numpy==1.24.4[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • numpy==1.24.4[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • numpy==1.24.4[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • numpy==1.24.4[numpy]
    extra == "numpy"
  • numpy==1.24.4[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • numpy==1.24.4[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • numpy==1.24.4[perceptron-classifier]
    extra == "perceptron-classifier"
  • numpy==1.24.4[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • numpy==1.24.4[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • numpy==1.24.4[random-forest-classifier]
    extra == "random-forest-classifier"
  • numpy==1.24.4[random-forest-regressor]
    extra == "random-forest-regressor"
  • numpy==1.24.4[ridge-regressor]
    extra == "ridge-regressor"
  • numpy==1.24.4[saga-classifier]
    extra == "saga-classifier"
  • numpy==1.24.4[sdca-classifier]
    extra == "sdca-classifier"
  • numpy==1.24.4[sgd-classifier]
    extra == "sgd-classifier"
  • numpy==1.24.4[sgd-regressor]
    extra == "sgd-regressor"
  • numpy==1.24.4[stacking-classifier]
    extra == "stacking-classifier"
  • numpy==1.24.4[stacking-regressor]
    extra == "stacking-regressor"
  • numpy==1.24.4[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • numpy==1.24.4[svm-classifier]
    extra == "svm-classifier"
  • numpy==1.24.4[svr-regressor]
    extra == "svr-regressor"
  • numpy==1.24.4[svrg-classifier]
    extra == "svrg-classifier"
  • numpy==1.24.4[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • numpy==1.24.4[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • numpy==1.24.4[xgboost-classifier]
    extra == "xgboost-classifier"
  • numpy==1.24.4[xgboost-regressor]
    extra == "xgboost-regressor"
  • nvidia-cublas-cu12==12.4.5.8[all]
    extra == "all"
  • nvidia-cublas-cu12==12.4.5.8[external-runtime]
    extra == "external-runtime"
  • nvidia-cublas-cu12==12.4.5.8[full-runtime]
    extra == "full-runtime"
  • nvidia-cublas-cu12==12.4.5.8[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • nvidia-cublas-cu12==12.4.5.8[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • nvidia-cublas-cu12==12.4.5.8[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • nvidia-cublas-cu12==12.4.5.8[nvidia-cublas-cu12]
    extra == "nvidia-cublas-cu12"
  • nvidia-cublas-cu12==12.4.5.8[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • nvidia-cuda-cupti-cu12==12.4.127[all]
    extra == "all"
  • nvidia-cuda-cupti-cu12==12.4.127[external-runtime]
    extra == "external-runtime"
  • nvidia-cuda-cupti-cu12==12.4.127[full-runtime]
    extra == "full-runtime"
  • nvidia-cuda-cupti-cu12==12.4.127[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • nvidia-cuda-cupti-cu12==12.4.127[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • nvidia-cuda-cupti-cu12==12.4.127[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • nvidia-cuda-cupti-cu12==12.4.127[nvidia-cuda-cupti-cu12]
    extra == "nvidia-cuda-cupti-cu12"
  • nvidia-cuda-cupti-cu12==12.4.127[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • nvidia-cuda-nvrtc-cu12==12.4.127[all]
    extra == "all"
  • nvidia-cuda-nvrtc-cu12==12.4.127[external-runtime]
    extra == "external-runtime"
  • nvidia-cuda-nvrtc-cu12==12.4.127[full-runtime]
    extra == "full-runtime"
  • nvidia-cuda-nvrtc-cu12==12.4.127[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • nvidia-cuda-nvrtc-cu12==12.4.127[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • nvidia-cuda-nvrtc-cu12==12.4.127[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • nvidia-cuda-nvrtc-cu12==12.4.127[nvidia-cuda-nvrtc-cu12]
    extra == "nvidia-cuda-nvrtc-cu12"
  • nvidia-cuda-nvrtc-cu12==12.4.127[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • nvidia-cuda-runtime-cu12==12.4.127[all]
    extra == "all"
  • nvidia-cuda-runtime-cu12==12.4.127[external-runtime]
    extra == "external-runtime"
  • nvidia-cuda-runtime-cu12==12.4.127[full-runtime]
    extra == "full-runtime"
  • nvidia-cuda-runtime-cu12==12.4.127[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • nvidia-cuda-runtime-cu12==12.4.127[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • nvidia-cuda-runtime-cu12==12.4.127[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • nvidia-cuda-runtime-cu12==12.4.127[nvidia-cuda-runtime-cu12]
    extra == "nvidia-cuda-runtime-cu12"
  • nvidia-cuda-runtime-cu12==12.4.127[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • nvidia-cudnn-cu12==9.1.0.70[all]
    extra == "all"
  • nvidia-cudnn-cu12==9.1.0.70[external-runtime]
    extra == "external-runtime"
  • nvidia-cudnn-cu12==9.1.0.70[full-runtime]
    extra == "full-runtime"
  • nvidia-cudnn-cu12==9.1.0.70[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • nvidia-cudnn-cu12==9.1.0.70[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • nvidia-cudnn-cu12==9.1.0.70[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • nvidia-cudnn-cu12==9.1.0.70[nvidia-cudnn-cu12]
    extra == "nvidia-cudnn-cu12"
  • nvidia-cudnn-cu12==9.1.0.70[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • nvidia-cufft-cu12==11.2.1.3[all]
    extra == "all"
  • nvidia-cufft-cu12==11.2.1.3[external-runtime]
    extra == "external-runtime"
  • nvidia-cufft-cu12==11.2.1.3[full-runtime]
    extra == "full-runtime"
  • nvidia-cufft-cu12==11.2.1.3[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • nvidia-cufft-cu12==11.2.1.3[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • nvidia-cufft-cu12==11.2.1.3[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • nvidia-cufft-cu12==11.2.1.3[nvidia-cufft-cu12]
    extra == "nvidia-cufft-cu12"
  • nvidia-cufft-cu12==11.2.1.3[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • nvidia-curand-cu12==10.3.5.147[all]
    extra == "all"
  • nvidia-curand-cu12==10.3.5.147[external-runtime]
    extra == "external-runtime"
  • nvidia-curand-cu12==10.3.5.147[full-runtime]
    extra == "full-runtime"
  • nvidia-curand-cu12==10.3.5.147[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • nvidia-curand-cu12==10.3.5.147[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • nvidia-curand-cu12==10.3.5.147[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • nvidia-curand-cu12==10.3.5.147[nvidia-curand-cu12]
    extra == "nvidia-curand-cu12"
  • nvidia-curand-cu12==10.3.5.147[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • nvidia-cusolver-cu12==11.6.1.9[all]
    extra == "all"
  • nvidia-cusolver-cu12==11.6.1.9[external-runtime]
    extra == "external-runtime"
  • nvidia-cusolver-cu12==11.6.1.9[full-runtime]
    extra == "full-runtime"
  • nvidia-cusolver-cu12==11.6.1.9[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • nvidia-cusolver-cu12==11.6.1.9[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • nvidia-cusolver-cu12==11.6.1.9[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • nvidia-cusolver-cu12==11.6.1.9[nvidia-cusolver-cu12]
    extra == "nvidia-cusolver-cu12"
  • nvidia-cusolver-cu12==11.6.1.9[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • nvidia-cusparse-cu12==12.3.1.170[all]
    extra == "all"
  • nvidia-cusparse-cu12==12.3.1.170[external-runtime]
    extra == "external-runtime"
  • nvidia-cusparse-cu12==12.3.1.170[full-runtime]
    extra == "full-runtime"
  • nvidia-cusparse-cu12==12.3.1.170[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • nvidia-cusparse-cu12==12.3.1.170[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • nvidia-cusparse-cu12==12.3.1.170[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • nvidia-cusparse-cu12==12.3.1.170[nvidia-cusparse-cu12]
    extra == "nvidia-cusparse-cu12"
  • nvidia-cusparse-cu12==12.3.1.170[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • nvidia-nccl-cu12==2.21.5[all]
    extra == "all"
  • nvidia-nccl-cu12==2.21.5[external-runtime]
    extra == "external-runtime"
  • nvidia-nccl-cu12==2.21.5[full-runtime]
    extra == "full-runtime"
  • nvidia-nccl-cu12==2.21.5[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • nvidia-nccl-cu12==2.21.5[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • nvidia-nccl-cu12==2.21.5[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • nvidia-nccl-cu12==2.21.5[nvidia-nccl-cu12]
    extra == "nvidia-nccl-cu12"
  • nvidia-nccl-cu12==2.21.5[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • nvidia-nvjitlink-cu12==12.4.127[all]
    extra == "all"
  • nvidia-nvjitlink-cu12==12.4.127[external-runtime]
    extra == "external-runtime"
  • nvidia-nvjitlink-cu12==12.4.127[full-runtime]
    extra == "full-runtime"
  • nvidia-nvjitlink-cu12==12.4.127[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • nvidia-nvjitlink-cu12==12.4.127[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • nvidia-nvjitlink-cu12==12.4.127[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • nvidia-nvjitlink-cu12==12.4.127[nvidia-nvjitlink-cu12]
    extra == "nvidia-nvjitlink-cu12"
  • nvidia-nvjitlink-cu12==12.4.127[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • nvidia-nvtx-cu12==12.4.127[all]
    extra == "all"
  • nvidia-nvtx-cu12==12.4.127[external-runtime]
    extra == "external-runtime"
  • nvidia-nvtx-cu12==12.4.127[full-runtime]
    extra == "full-runtime"
  • nvidia-nvtx-cu12==12.4.127[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • nvidia-nvtx-cu12==12.4.127[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • nvidia-nvtx-cu12==12.4.127[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • nvidia-nvtx-cu12==12.4.127[nvidia-nvtx-cu12]
    extra == "nvidia-nvtx-cu12"
  • nvidia-nvtx-cu12==12.4.127[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • onnx==1.18.0[onnx]
    extra == "onnx"
  • onnxruntime==1.19.2[external-runtime]
    extra == "external-runtime"
  • onnxruntime==1.19.2[onnxruntime]
    extra == "onnxruntime"
  • optimum==1.25.3[external-runtime]
    extra == "external-runtime"
  • optimum==1.25.3[optimum]
    extra == "optimum"
  • optuna==3.5.0[adagrad-classifier]
    extra == "adagrad-classifier"
  • optuna==3.5.0[all]
    extra == "all"
  • optuna==3.5.0[ard-regressor]
    extra == "ard-regressor"
  • optuna==3.5.0[arima-forecaster]
    extra == "arima-forecaster"
  • optuna==3.5.0[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • optuna==3.5.0[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • optuna==3.5.0[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • optuna==3.5.0[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • optuna==3.5.0[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • optuna==3.5.0[catboost-classifier]
    extra == "catboost-classifier"
  • optuna==3.5.0[catboost-regressor]
    extra == "catboost-regressor"
  • optuna==3.5.0[cd-classifier]
    extra == "cd-classifier"
  • optuna==3.5.0[cd-regressor]
    extra == "cd-regressor"
  • optuna==3.5.0[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • optuna==3.5.0[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • optuna==3.5.0[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • optuna==3.5.0[external-runtime]
    extra == "external-runtime"
  • optuna==3.5.0[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • optuna==3.5.0[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • optuna==3.5.0[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • optuna==3.5.0[fista-classifier]
    extra == "fista-classifier"
  • optuna==3.5.0[fista-regressor]
    extra == "fista-regressor"
  • optuna==3.5.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • optuna==3.5.0[full-runtime]
    extra == "full-runtime"
  • optuna==3.5.0[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • optuna==3.5.0[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • optuna==3.5.0[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • optuna==3.5.0[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • optuna==3.5.0[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • optuna==3.5.0[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • optuna==3.5.0[huber-regressor]
    extra == "huber-regressor"
  • optuna==3.5.0[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • optuna==3.5.0[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • optuna==3.5.0[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • optuna==3.5.0[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • optuna==3.5.0[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • optuna==3.5.0[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • optuna==3.5.0[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • optuna==3.5.0[lasso-regressor]
    extra == "lasso-regressor"
  • optuna==3.5.0[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • optuna==3.5.0[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • optuna==3.5.0[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • optuna==3.5.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • optuna==3.5.0[linear-regressor]
    extra == "linear-regressor"
  • optuna==3.5.0[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • optuna==3.5.0[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • optuna==3.5.0[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • optuna==3.5.0[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • optuna==3.5.0[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • optuna==3.5.0[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • optuna==3.5.0[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • optuna==3.5.0[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • optuna==3.5.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • optuna==3.5.0[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • optuna==3.5.0[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • optuna==3.5.0[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • optuna==3.5.0[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • optuna==3.5.0[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • optuna==3.5.0[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • optuna==3.5.0[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • optuna==3.5.0[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • optuna==3.5.0[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • optuna==3.5.0[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • optuna==3.5.0[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • optuna==3.5.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • optuna==3.5.0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • optuna==3.5.0[optuna]
    extra == "optuna"
  • optuna==3.5.0[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • optuna==3.5.0[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • optuna==3.5.0[perceptron-classifier]
    extra == "perceptron-classifier"
  • optuna==3.5.0[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • optuna==3.5.0[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • optuna==3.5.0[random-forest-classifier]
    extra == "random-forest-classifier"
  • optuna==3.5.0[random-forest-regressor]
    extra == "random-forest-regressor"
  • optuna==3.5.0[ridge-regressor]
    extra == "ridge-regressor"
  • optuna==3.5.0[saga-classifier]
    extra == "saga-classifier"
  • optuna==3.5.0[sdca-classifier]
    extra == "sdca-classifier"
  • optuna==3.5.0[sgd-classifier]
    extra == "sgd-classifier"
  • optuna==3.5.0[sgd-regressor]
    extra == "sgd-regressor"
  • optuna==3.5.0[stacking-classifier]
    extra == "stacking-classifier"
  • optuna==3.5.0[stacking-regressor]
    extra == "stacking-regressor"
  • optuna==3.5.0[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • optuna==3.5.0[svm-classifier]
    extra == "svm-classifier"
  • optuna==3.5.0[svr-regressor]
    extra == "svr-regressor"
  • optuna==3.5.0[svrg-classifier]
    extra == "svrg-classifier"
  • optuna==3.5.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • optuna==3.5.0[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • optuna==3.5.0[xgboost-classifier]
    extra == "xgboost-classifier"
  • optuna==3.5.0[xgboost-regressor]
    extra == "xgboost-regressor"
  • packaging==25.0[adagrad-classifier]
    extra == "adagrad-classifier"
  • packaging==25.0[all]
    extra == "all"
  • packaging==25.0[ard-regressor]
    extra == "ard-regressor"
  • packaging==25.0[arima-forecaster]
    extra == "arima-forecaster"
  • packaging==25.0[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • packaging==25.0[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • packaging==25.0[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • packaging==25.0[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • packaging==25.0[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • packaging==25.0[catboost-classifier]
    extra == "catboost-classifier"
  • packaging==25.0[catboost-regressor]
    extra == "catboost-regressor"
  • packaging==25.0[cd-classifier]
    extra == "cd-classifier"
  • packaging==25.0[cd-regressor]
    extra == "cd-regressor"
  • packaging==25.0[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • packaging==25.0[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • packaging==25.0[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • packaging==25.0[external-runtime]
    extra == "external-runtime"
  • packaging==25.0[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • packaging==25.0[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • packaging==25.0[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • packaging==25.0[fista-classifier]
    extra == "fista-classifier"
  • packaging==25.0[fista-regressor]
    extra == "fista-regressor"
  • packaging==25.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • packaging==25.0[full-runtime]
    extra == "full-runtime"
  • packaging==25.0[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • packaging==25.0[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • packaging==25.0[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • packaging==25.0[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • packaging==25.0[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • packaging==25.0[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • packaging==25.0[huber-regressor]
    extra == "huber-regressor"
  • packaging==25.0[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • packaging==25.0[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • packaging==25.0[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • packaging==25.0[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • packaging==25.0[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • packaging==25.0[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • packaging==25.0[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • packaging==25.0[lasso-regressor]
    extra == "lasso-regressor"
  • packaging==25.0[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • packaging==25.0[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • packaging==25.0[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • packaging==25.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • packaging==25.0[linear-regressor]
    extra == "linear-regressor"
  • packaging==25.0[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • packaging==25.0[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • packaging==25.0[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • packaging==25.0[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • packaging==25.0[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • packaging==25.0[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • packaging==25.0[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • packaging==25.0[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • packaging==25.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • packaging==25.0[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • packaging==25.0[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • packaging==25.0[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • packaging==25.0[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • packaging==25.0[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • packaging==25.0[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • packaging==25.0[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • packaging==25.0[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • packaging==25.0[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • packaging==25.0[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • packaging==25.0[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • packaging==25.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • packaging==25.0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • packaging==25.0[packaging]
    extra == "packaging"
  • packaging==25.0[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • packaging==25.0[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • packaging==25.0[perceptron-classifier]
    extra == "perceptron-classifier"
  • packaging==25.0[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • packaging==25.0[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • packaging==25.0[random-forest-classifier]
    extra == "random-forest-classifier"
  • packaging==25.0[random-forest-regressor]
    extra == "random-forest-regressor"
  • packaging==25.0[ridge-regressor]
    extra == "ridge-regressor"
  • packaging==25.0[saga-classifier]
    extra == "saga-classifier"
  • packaging==25.0[sdca-classifier]
    extra == "sdca-classifier"
  • packaging==25.0[sgd-classifier]
    extra == "sgd-classifier"
  • packaging==25.0[sgd-regressor]
    extra == "sgd-regressor"
  • packaging==25.0[stacking-classifier]
    extra == "stacking-classifier"
  • packaging==25.0[stacking-regressor]
    extra == "stacking-regressor"
  • packaging==25.0[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • packaging==25.0[svm-classifier]
    extra == "svm-classifier"
  • packaging==25.0[svr-regressor]
    extra == "svr-regressor"
  • packaging==25.0[svrg-classifier]
    extra == "svrg-classifier"
  • packaging==25.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • packaging==25.0[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • packaging==25.0[xgboost-classifier]
    extra == "xgboost-classifier"
  • packaging==25.0[xgboost-regressor]
    extra == "xgboost-regressor"
  • pandas==1.5.3[adagrad-classifier]
    extra == "adagrad-classifier"
  • pandas==1.5.3[all]
    extra == "all"
  • pandas==1.5.3[ard-regressor]
    extra == "ard-regressor"
  • pandas==1.5.3[arima-forecaster]
    extra == "arima-forecaster"
  • pandas==1.5.3[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • pandas==1.5.3[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • pandas==1.5.3[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • pandas==1.5.3[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • pandas==1.5.3[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • pandas==1.5.3[catboost-classifier]
    extra == "catboost-classifier"
  • pandas==1.5.3[catboost-regressor]
    extra == "catboost-regressor"
  • pandas==1.5.3[cd-classifier]
    extra == "cd-classifier"
  • pandas==1.5.3[cd-regressor]
    extra == "cd-regressor"
  • pandas==1.5.3[data-science]
    extra == "data-science"
  • pandas==1.5.3[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • pandas==1.5.3[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • pandas==1.5.3[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • pandas==1.5.3[external-runtime]
    extra == "external-runtime"
  • pandas==1.5.3[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • pandas==1.5.3[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • pandas==1.5.3[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • pandas==1.5.3[fista-classifier]
    extra == "fista-classifier"
  • pandas==1.5.3[fista-regressor]
    extra == "fista-regressor"
  • pandas==1.5.3[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • pandas==1.5.3[full-runtime]
    extra == "full-runtime"
  • pandas==1.5.3[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • pandas==1.5.3[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • pandas==1.5.3[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • pandas==1.5.3[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • pandas==1.5.3[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • pandas==1.5.3[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • pandas==1.5.3[huber-regressor]
    extra == "huber-regressor"
  • pandas==1.5.3[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • pandas==1.5.3[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • pandas==1.5.3[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • pandas==1.5.3[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • pandas==1.5.3[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • pandas==1.5.3[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • pandas==1.5.3[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • pandas==1.5.3[lasso-regressor]
    extra == "lasso-regressor"
  • pandas==1.5.3[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • pandas==1.5.3[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • pandas==1.5.3[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • pandas==1.5.3[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • pandas==1.5.3[linear-regressor]
    extra == "linear-regressor"
  • pandas==1.5.3[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • pandas==1.5.3[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • pandas==1.5.3[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • pandas==1.5.3[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • pandas==1.5.3[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • pandas==1.5.3[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • pandas==1.5.3[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • pandas==1.5.3[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • pandas==1.5.3[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • pandas==1.5.3[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • pandas==1.5.3[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • pandas==1.5.3[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • pandas==1.5.3[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • pandas==1.5.3[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • pandas==1.5.3[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • pandas==1.5.3[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • pandas==1.5.3[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • pandas==1.5.3[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • pandas==1.5.3[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • pandas==1.5.3[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • pandas==1.5.3[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • pandas==1.5.3[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • pandas==1.5.3[pandas]
    extra == "pandas"
  • pandas==1.5.3[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • pandas==1.5.3[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • pandas==1.5.3[perceptron-classifier]
    extra == "perceptron-classifier"
  • pandas==1.5.3[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • pandas==1.5.3[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • pandas==1.5.3[random-forest-classifier]
    extra == "random-forest-classifier"
  • pandas==1.5.3[random-forest-regressor]
    extra == "random-forest-regressor"
  • pandas==1.5.3[ridge-regressor]
    extra == "ridge-regressor"
  • pandas==1.5.3[saga-classifier]
    extra == "saga-classifier"
  • pandas==1.5.3[sdca-classifier]
    extra == "sdca-classifier"
  • pandas==1.5.3[sgd-classifier]
    extra == "sgd-classifier"
  • pandas==1.5.3[sgd-regressor]
    extra == "sgd-regressor"
  • pandas==1.5.3[stacking-classifier]
    extra == "stacking-classifier"
  • pandas==1.5.3[stacking-regressor]
    extra == "stacking-regressor"
  • pandas==1.5.3[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • pandas==1.5.3[svm-classifier]
    extra == "svm-classifier"
  • pandas==1.5.3[svr-regressor]
    extra == "svr-regressor"
  • pandas==1.5.3[svrg-classifier]
    extra == "svrg-classifier"
  • pandas==1.5.3[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • pandas==1.5.3[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • pandas==1.5.3[xgboost-classifier]
    extra == "xgboost-classifier"
  • pandas==1.5.3[xgboost-regressor]
    extra == "xgboost-regressor"
  • patsy==1.0.1[all]
    extra == "all"
  • patsy==1.0.1[arima-forecaster]
    extra == "arima-forecaster"
  • patsy==1.0.1[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • patsy==1.0.1[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • patsy==1.0.1[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • patsy==1.0.1[external-runtime]
    extra == "external-runtime"
  • patsy==1.0.1[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • patsy==1.0.1[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • patsy==1.0.1[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • patsy==1.0.1[full-runtime]
    extra == "full-runtime"
  • patsy==1.0.1[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • patsy==1.0.1[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • patsy==1.0.1[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • patsy==1.0.1[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • patsy==1.0.1[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • patsy==1.0.1[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • patsy==1.0.1[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • patsy==1.0.1[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • patsy==1.0.1[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • patsy==1.0.1[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • patsy==1.0.1[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • patsy==1.0.1[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • patsy==1.0.1[patsy]
    extra == "patsy"
  • patsy==1.0.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • phonenumbers==8.13.55[external-runtime]
    extra == "external-runtime"
  • phonenumbers==8.13.55[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • phonenumbers==8.13.55[full-runtime]
    extra == "full-runtime"
  • phonenumbers==8.13.55[phonenumbers]
    extra == "phonenumbers"
  • pillow==11.2.1[all]
    extra == "all"
  • pillow==11.2.1[catboost-classifier]
    extra == "catboost-classifier"
  • pillow==11.2.1[catboost-regressor]
    extra == "catboost-regressor"
  • pillow==11.2.1[external-runtime]
    extra == "external-runtime"
  • pillow==11.2.1[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • pillow==11.2.1[full-runtime]
    extra == "full-runtime"
  • pillow==11.2.1[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • pillow==11.2.1[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • pillow==11.2.1[pillow]
    extra == "pillow"
  • pillow==11.2.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • plotly==6.1.1[all]
    extra == "all"
  • plotly==6.1.1[catboost-classifier]
    extra == "catboost-classifier"
  • plotly==6.1.1[catboost-regressor]
    extra == "catboost-regressor"
  • plotly==6.1.1[external-runtime]
    extra == "external-runtime"
  • plotly==6.1.1[full-runtime]
    extra == "full-runtime"
  • plotly==6.1.1[plotly]
    extra == "plotly"
  • plotly==6.1.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • pmdarima==2.0.4[all]
    extra == "all"
  • pmdarima==2.0.4[arima-forecaster]
    extra == "arima-forecaster"
  • pmdarima==2.0.4[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • pmdarima==2.0.4[external-runtime]
    extra == "external-runtime"
  • pmdarima==2.0.4[full-runtime]
    extra == "full-runtime"
  • pmdarima==2.0.4[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • pmdarima==2.0.4[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • pmdarima==2.0.4[pmdarima]
    extra == "pmdarima"
  • pmdarima==2.0.4[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • polars==1.30.0[all]
    extra == "all"
  • polars==1.30.0[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • polars==1.30.0[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • polars==1.30.0[external-runtime]
    extra == "external-runtime"
  • polars==1.30.0[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • polars==1.30.0[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • polars==1.30.0[full-runtime]
    extra == "full-runtime"
  • polars==1.30.0[polars]
    extra == "polars"
  • polars==1.30.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • portion==2.6.0[adagrad-classifier]
    extra == "adagrad-classifier"
  • portion==2.6.0[all]
    extra == "all"
  • portion==2.6.0[ard-regressor]
    extra == "ard-regressor"
  • portion==2.6.0[arima-forecaster]
    extra == "arima-forecaster"
  • portion==2.6.0[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • portion==2.6.0[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • portion==2.6.0[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • portion==2.6.0[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • portion==2.6.0[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • portion==2.6.0[catboost-classifier]
    extra == "catboost-classifier"
  • portion==2.6.0[catboost-regressor]
    extra == "catboost-regressor"
  • portion==2.6.0[cd-classifier]
    extra == "cd-classifier"
  • portion==2.6.0[cd-regressor]
    extra == "cd-regressor"
  • portion==2.6.0[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • portion==2.6.0[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • portion==2.6.0[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • portion==2.6.0[external-runtime]
    extra == "external-runtime"
  • portion==2.6.0[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • portion==2.6.0[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • portion==2.6.0[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • portion==2.6.0[fista-classifier]
    extra == "fista-classifier"
  • portion==2.6.0[fista-regressor]
    extra == "fista-regressor"
  • portion==2.6.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • portion==2.6.0[full-runtime]
    extra == "full-runtime"
  • portion==2.6.0[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • portion==2.6.0[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • portion==2.6.0[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • portion==2.6.0[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • portion==2.6.0[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • portion==2.6.0[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • portion==2.6.0[huber-regressor]
    extra == "huber-regressor"
  • portion==2.6.0[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • portion==2.6.0[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • portion==2.6.0[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • portion==2.6.0[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • portion==2.6.0[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • portion==2.6.0[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • portion==2.6.0[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • portion==2.6.0[lasso-regressor]
    extra == "lasso-regressor"
  • portion==2.6.0[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • portion==2.6.0[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • portion==2.6.0[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • portion==2.6.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • portion==2.6.0[linear-regressor]
    extra == "linear-regressor"
  • portion==2.6.0[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • portion==2.6.0[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • portion==2.6.0[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • portion==2.6.0[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • portion==2.6.0[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • portion==2.6.0[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • portion==2.6.0[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • portion==2.6.0[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • portion==2.6.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • portion==2.6.0[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • portion==2.6.0[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • portion==2.6.0[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • portion==2.6.0[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • portion==2.6.0[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • portion==2.6.0[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • portion==2.6.0[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • portion==2.6.0[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • portion==2.6.0[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • portion==2.6.0[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • portion==2.6.0[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • portion==2.6.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • portion==2.6.0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • portion==2.6.0[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • portion==2.6.0[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • portion==2.6.0[perceptron-classifier]
    extra == "perceptron-classifier"
  • portion==2.6.0[portion]
    extra == "portion"
  • portion==2.6.0[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • portion==2.6.0[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • portion==2.6.0[random-forest-classifier]
    extra == "random-forest-classifier"
  • portion==2.6.0[random-forest-regressor]
    extra == "random-forest-regressor"
  • portion==2.6.0[ridge-regressor]
    extra == "ridge-regressor"
  • portion==2.6.0[saga-classifier]
    extra == "saga-classifier"
  • portion==2.6.0[sdca-classifier]
    extra == "sdca-classifier"
  • portion==2.6.0[sgd-classifier]
    extra == "sgd-classifier"
  • portion==2.6.0[sgd-regressor]
    extra == "sgd-regressor"
  • portion==2.6.0[stacking-classifier]
    extra == "stacking-classifier"
  • portion==2.6.0[stacking-regressor]
    extra == "stacking-regressor"
  • portion==2.6.0[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • portion==2.6.0[svm-classifier]
    extra == "svm-classifier"
  • portion==2.6.0[svr-regressor]
    extra == "svr-regressor"
  • portion==2.6.0[svrg-classifier]
    extra == "svrg-classifier"
  • portion==2.6.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • portion==2.6.0[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • portion==2.6.0[xgboost-classifier]
    extra == "xgboost-classifier"
  • portion==2.6.0[xgboost-regressor]
    extra == "xgboost-regressor"
  • propcache==0.3.1[propcache]
    extra == "propcache"
  • protobuf==6.31.0[all]
    extra == "all"
  • protobuf==6.31.0[external-runtime]
    extra == "external-runtime"
  • protobuf==6.31.0[full-runtime]
    extra == "full-runtime"
  • protobuf==6.31.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • protobuf==6.31.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • protobuf==6.31.0[protobuf]
    extra == "protobuf"
  • protobuf==6.31.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • psutil==7.0.0[all]
    extra == "all"
  • psutil==7.0.0[external-runtime]
    extra == "external-runtime"
  • psutil==7.0.0[full-runtime]
    extra == "full-runtime"
  • psutil==7.0.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • psutil==7.0.0[psutil]
    extra == "psutil"
  • psutil==7.0.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • pyahocorasick==2.1.0[external-runtime]
    extra == "external-runtime"
  • pyahocorasick==2.1.0[pyahocorasick]
    extra == "pyahocorasick"
  • pyap==0.3.1[external-runtime]
    extra == "external-runtime"
  • pyap==0.3.1[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • pyap==0.3.1[full-runtime]
    extra == "full-runtime"
  • pyap==0.3.1[pyap]
    extra == "pyap"
  • pyarrow==17.0.0[all]
    extra == "all"
  • pyarrow==17.0.0[external-runtime]
    extra == "external-runtime"
  • pyarrow==17.0.0[full-runtime]
    extra == "full-runtime"
  • pyarrow==17.0.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • pyarrow==17.0.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • pyarrow==17.0.0[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • pyarrow==17.0.0[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • pyarrow==17.0.0[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • pyarrow==17.0.0[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • pyarrow==17.0.0[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • pyarrow==17.0.0[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • pyarrow==17.0.0[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • pyarrow==17.0.0[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • pyarrow==17.0.0[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • pyarrow==17.0.0[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • pyarrow==17.0.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • pyarrow==17.0.0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • pyarrow==17.0.0[pyarrow]
    extra == "pyarrow"
  • pyarrow==17.0.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • pycountry==24.6.1[external-runtime]
    extra == "external-runtime"
  • pycountry==24.6.1[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • pycountry==24.6.1[full-runtime]
    extra == "full-runtime"
  • pycountry==24.6.1[pycountry]
    extra == "pycountry"
  • pydantic==1.10.22[adagrad-classifier]
    extra == "adagrad-classifier"
  • pydantic==1.10.22[all]
    extra == "all"
  • pydantic==1.10.22[ard-regressor]
    extra == "ard-regressor"
  • pydantic==1.10.22[arima-forecaster]
    extra == "arima-forecaster"
  • pydantic==1.10.22[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • pydantic==1.10.22[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • pydantic==1.10.22[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • pydantic==1.10.22[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • pydantic==1.10.22[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • pydantic==1.10.22[catboost-classifier]
    extra == "catboost-classifier"
  • pydantic==1.10.22[catboost-regressor]
    extra == "catboost-regressor"
  • pydantic==1.10.22[cd-classifier]
    extra == "cd-classifier"
  • pydantic==1.10.22[cd-regressor]
    extra == "cd-regressor"
  • pydantic==1.10.22[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • pydantic==1.10.22[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • pydantic==1.10.22[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • pydantic==1.10.22[external-runtime]
    extra == "external-runtime"
  • pydantic==1.10.22[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • pydantic==1.10.22[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • pydantic==1.10.22[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • pydantic==1.10.22[fista-classifier]
    extra == "fista-classifier"
  • pydantic==1.10.22[fista-regressor]
    extra == "fista-regressor"
  • pydantic==1.10.22[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • pydantic==1.10.22[full-runtime]
    extra == "full-runtime"
  • pydantic==1.10.22[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • pydantic==1.10.22[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • pydantic==1.10.22[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • pydantic==1.10.22[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • pydantic==1.10.22[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • pydantic==1.10.22[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • pydantic==1.10.22[huber-regressor]
    extra == "huber-regressor"
  • pydantic==1.10.22[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • pydantic==1.10.22[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • pydantic==1.10.22[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • pydantic==1.10.22[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • pydantic==1.10.22[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • pydantic==1.10.22[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • pydantic==1.10.22[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • pydantic==1.10.22[lasso-regressor]
    extra == "lasso-regressor"
  • pydantic==1.10.22[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • pydantic==1.10.22[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • pydantic==1.10.22[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • pydantic==1.10.22[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • pydantic==1.10.22[linear-regressor]
    extra == "linear-regressor"
  • pydantic==1.10.22[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • pydantic==1.10.22[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • pydantic==1.10.22[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • pydantic==1.10.22[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • pydantic==1.10.22[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • pydantic==1.10.22[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • pydantic==1.10.22[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • pydantic==1.10.22[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • pydantic==1.10.22[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • pydantic==1.10.22[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • pydantic==1.10.22[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • pydantic==1.10.22[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • pydantic==1.10.22[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • pydantic==1.10.22[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • pydantic==1.10.22[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • pydantic==1.10.22[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • pydantic==1.10.22[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • pydantic==1.10.22[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • pydantic==1.10.22[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • pydantic==1.10.22[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • pydantic==1.10.22[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • pydantic==1.10.22[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • pydantic==1.10.22[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • pydantic==1.10.22[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • pydantic==1.10.22[perceptron-classifier]
    extra == "perceptron-classifier"
  • pydantic==1.10.22[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • pydantic==1.10.22[pydantic]
    extra == "pydantic"
  • pydantic==1.10.22[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • pydantic==1.10.22[random-forest-classifier]
    extra == "random-forest-classifier"
  • pydantic==1.10.22[random-forest-regressor]
    extra == "random-forest-regressor"
  • pydantic==1.10.22[ridge-regressor]
    extra == "ridge-regressor"
  • pydantic==1.10.22[saga-classifier]
    extra == "saga-classifier"
  • pydantic==1.10.22[sdca-classifier]
    extra == "sdca-classifier"
  • pydantic==1.10.22[sgd-classifier]
    extra == "sgd-classifier"
  • pydantic==1.10.22[sgd-regressor]
    extra == "sgd-regressor"
  • pydantic==1.10.22[stacking-classifier]
    extra == "stacking-classifier"
  • pydantic==1.10.22[stacking-regressor]
    extra == "stacking-regressor"
  • pydantic==1.10.22[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • pydantic==1.10.22[svm-classifier]
    extra == "svm-classifier"
  • pydantic==1.10.22[svr-regressor]
    extra == "svr-regressor"
  • pydantic==1.10.22[svrg-classifier]
    extra == "svrg-classifier"
  • pydantic==1.10.22[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • pydantic==1.10.22[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • pydantic==1.10.22[xgboost-classifier]
    extra == "xgboost-classifier"
  • pydantic==1.10.22[xgboost-regressor]
    extra == "xgboost-regressor"
  • pynndescent==0.5.13[all]
    extra == "all"
  • pynndescent==0.5.13[external-runtime]
    extra == "external-runtime"
  • pynndescent==0.5.13[full-runtime]
    extra == "full-runtime"
  • pynndescent==0.5.13[pynndescent]
    extra == "pynndescent"
  • pynndescent==0.5.13[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • pyod==2.0.5[all]
    extra == "all"
  • pyod==2.0.5[external-runtime]
    extra == "external-runtime"
  • pyod==2.0.5[full-runtime]
    extra == "full-runtime"
  • pyod==2.0.5[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • pyod==2.0.5[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • pyod==2.0.5[pyod]
    extra == "pyod"
  • pyod==2.0.5[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • pyparsing==3.2.3[all]
    extra == "all"
  • pyparsing==3.2.3[catboost-classifier]
    extra == "catboost-classifier"
  • pyparsing==3.2.3[catboost-regressor]
    extra == "catboost-regressor"
  • pyparsing==3.2.3[external-runtime]
    extra == "external-runtime"
  • pyparsing==3.2.3[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • pyparsing==3.2.3[full-runtime]
    extra == "full-runtime"
  • pyparsing==3.2.3[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • pyparsing==3.2.3[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • pyparsing==3.2.3[pyparsing]
    extra == "pyparsing"
  • pyparsing==3.2.3[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • python-dateutil==2.9.0.post0[adagrad-classifier]
    extra == "adagrad-classifier"
  • python-dateutil==2.9.0.post0[all]
    extra == "all"
  • python-dateutil==2.9.0.post0[ard-regressor]
    extra == "ard-regressor"
  • python-dateutil==2.9.0.post0[arima-forecaster]
    extra == "arima-forecaster"
  • python-dateutil==2.9.0.post0[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • python-dateutil==2.9.0.post0[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • python-dateutil==2.9.0.post0[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • python-dateutil==2.9.0.post0[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • python-dateutil==2.9.0.post0[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • python-dateutil==2.9.0.post0[catboost-classifier]
    extra == "catboost-classifier"
  • python-dateutil==2.9.0.post0[catboost-regressor]
    extra == "catboost-regressor"
  • python-dateutil==2.9.0.post0[cd-classifier]
    extra == "cd-classifier"
  • python-dateutil==2.9.0.post0[cd-regressor]
    extra == "cd-regressor"
  • python-dateutil==2.9.0.post0[data-science]
    extra == "data-science"
  • python-dateutil==2.9.0.post0[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • python-dateutil==2.9.0.post0[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • python-dateutil==2.9.0.post0[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • python-dateutil==2.9.0.post0[external-runtime]
    extra == "external-runtime"
  • python-dateutil==2.9.0.post0[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • python-dateutil==2.9.0.post0[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • python-dateutil==2.9.0.post0[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • python-dateutil==2.9.0.post0[fista-classifier]
    extra == "fista-classifier"
  • python-dateutil==2.9.0.post0[fista-regressor]
    extra == "fista-regressor"
  • python-dateutil==2.9.0.post0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • python-dateutil==2.9.0.post0[full-runtime]
    extra == "full-runtime"
  • python-dateutil==2.9.0.post0[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • python-dateutil==2.9.0.post0[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • python-dateutil==2.9.0.post0[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • python-dateutil==2.9.0.post0[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • python-dateutil==2.9.0.post0[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • python-dateutil==2.9.0.post0[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • python-dateutil==2.9.0.post0[huber-regressor]
    extra == "huber-regressor"
  • python-dateutil==2.9.0.post0[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • python-dateutil==2.9.0.post0[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • python-dateutil==2.9.0.post0[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • python-dateutil==2.9.0.post0[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • python-dateutil==2.9.0.post0[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • python-dateutil==2.9.0.post0[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • python-dateutil==2.9.0.post0[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • python-dateutil==2.9.0.post0[lasso-regressor]
    extra == "lasso-regressor"
  • python-dateutil==2.9.0.post0[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • python-dateutil==2.9.0.post0[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • python-dateutil==2.9.0.post0[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • python-dateutil==2.9.0.post0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • python-dateutil==2.9.0.post0[linear-regressor]
    extra == "linear-regressor"
  • python-dateutil==2.9.0.post0[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • python-dateutil==2.9.0.post0[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • python-dateutil==2.9.0.post0[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • python-dateutil==2.9.0.post0[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • python-dateutil==2.9.0.post0[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • python-dateutil==2.9.0.post0[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • python-dateutil==2.9.0.post0[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • python-dateutil==2.9.0.post0[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • python-dateutil==2.9.0.post0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • python-dateutil==2.9.0.post0[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • python-dateutil==2.9.0.post0[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • python-dateutil==2.9.0.post0[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • python-dateutil==2.9.0.post0[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • python-dateutil==2.9.0.post0[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • python-dateutil==2.9.0.post0[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • python-dateutil==2.9.0.post0[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • python-dateutil==2.9.0.post0[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • python-dateutil==2.9.0.post0[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • python-dateutil==2.9.0.post0[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • python-dateutil==2.9.0.post0[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • python-dateutil==2.9.0.post0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • python-dateutil==2.9.0.post0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • python-dateutil==2.9.0.post0[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • python-dateutil==2.9.0.post0[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • python-dateutil==2.9.0.post0[perceptron-classifier]
    extra == "perceptron-classifier"
  • python-dateutil==2.9.0.post0[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • python-dateutil==2.9.0.post0[python-dateutil]
    extra == "python-dateutil"
  • python-dateutil==2.9.0.post0[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • python-dateutil==2.9.0.post0[random-forest-classifier]
    extra == "random-forest-classifier"
  • python-dateutil==2.9.0.post0[random-forest-regressor]
    extra == "random-forest-regressor"
  • python-dateutil==2.9.0.post0[ridge-regressor]
    extra == "ridge-regressor"
  • python-dateutil==2.9.0.post0[saga-classifier]
    extra == "saga-classifier"
  • python-dateutil==2.9.0.post0[sdca-classifier]
    extra == "sdca-classifier"
  • python-dateutil==2.9.0.post0[sgd-classifier]
    extra == "sgd-classifier"
  • python-dateutil==2.9.0.post0[sgd-regressor]
    extra == "sgd-regressor"
  • python-dateutil==2.9.0.post0[stacking-classifier]
    extra == "stacking-classifier"
  • python-dateutil==2.9.0.post0[stacking-regressor]
    extra == "stacking-regressor"
  • python-dateutil==2.9.0.post0[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • python-dateutil==2.9.0.post0[svm-classifier]
    extra == "svm-classifier"
  • python-dateutil==2.9.0.post0[svr-regressor]
    extra == "svr-regressor"
  • python-dateutil==2.9.0.post0[svrg-classifier]
    extra == "svrg-classifier"
  • python-dateutil==2.9.0.post0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • python-dateutil==2.9.0.post0[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • python-dateutil==2.9.0.post0[xgboost-classifier]
    extra == "xgboost-classifier"
  • python-dateutil==2.9.0.post0[xgboost-regressor]
    extra == "xgboost-regressor"
  • python-dotenv==1.1.0[python-dotenv]
    extra == "python-dotenv"
  • python-stdnum==1.20[external-runtime]
    extra == "external-runtime"
  • python-stdnum==1.20[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • python-stdnum==1.20[full-runtime]
    extra == "full-runtime"
  • python-stdnum==1.20[python-stdnum]
    extra == "python-stdnum"
  • pytorch-lightning==2.5.1.post0[all]
    extra == "all"
  • pytorch-lightning==2.5.1.post0[external-runtime]
    extra == "external-runtime"
  • pytorch-lightning==2.5.1.post0[full-runtime]
    extra == "full-runtime"
  • pytorch-lightning==2.5.1.post0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • pytorch-lightning==2.5.1.post0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • pytorch-lightning==2.5.1.post0[pytorch-lightning]
    extra == "pytorch-lightning"
  • pytorch-lightning==2.5.1.post0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • pytz==2025.2[adagrad-classifier]
    extra == "adagrad-classifier"
  • pytz==2025.2[all]
    extra == "all"
  • pytz==2025.2[ard-regressor]
    extra == "ard-regressor"
  • pytz==2025.2[arima-forecaster]
    extra == "arima-forecaster"
  • pytz==2025.2[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • pytz==2025.2[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • pytz==2025.2[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • pytz==2025.2[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • pytz==2025.2[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • pytz==2025.2[catboost-classifier]
    extra == "catboost-classifier"
  • pytz==2025.2[catboost-regressor]
    extra == "catboost-regressor"
  • pytz==2025.2[cd-classifier]
    extra == "cd-classifier"
  • pytz==2025.2[cd-regressor]
    extra == "cd-regressor"
  • pytz==2025.2[data-science]
    extra == "data-science"
  • pytz==2025.2[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • pytz==2025.2[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • pytz==2025.2[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • pytz==2025.2[external-runtime]
    extra == "external-runtime"
  • pytz==2025.2[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • pytz==2025.2[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • pytz==2025.2[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • pytz==2025.2[fista-classifier]
    extra == "fista-classifier"
  • pytz==2025.2[fista-regressor]
    extra == "fista-regressor"
  • pytz==2025.2[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • pytz==2025.2[full-runtime]
    extra == "full-runtime"
  • pytz==2025.2[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • pytz==2025.2[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • pytz==2025.2[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • pytz==2025.2[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • pytz==2025.2[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • pytz==2025.2[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • pytz==2025.2[huber-regressor]
    extra == "huber-regressor"
  • pytz==2025.2[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • pytz==2025.2[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • pytz==2025.2[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • pytz==2025.2[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • pytz==2025.2[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • pytz==2025.2[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • pytz==2025.2[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • pytz==2025.2[lasso-regressor]
    extra == "lasso-regressor"
  • pytz==2025.2[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • pytz==2025.2[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • pytz==2025.2[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • pytz==2025.2[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • pytz==2025.2[linear-regressor]
    extra == "linear-regressor"
  • pytz==2025.2[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • pytz==2025.2[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • pytz==2025.2[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • pytz==2025.2[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • pytz==2025.2[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • pytz==2025.2[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • pytz==2025.2[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • pytz==2025.2[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • pytz==2025.2[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • pytz==2025.2[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • pytz==2025.2[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • pytz==2025.2[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • pytz==2025.2[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • pytz==2025.2[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • pytz==2025.2[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • pytz==2025.2[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • pytz==2025.2[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • pytz==2025.2[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • pytz==2025.2[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • pytz==2025.2[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • pytz==2025.2[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • pytz==2025.2[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • pytz==2025.2[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • pytz==2025.2[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • pytz==2025.2[perceptron-classifier]
    extra == "perceptron-classifier"
  • pytz==2025.2[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • pytz==2025.2[pytz]
    extra == "pytz"
  • pytz==2025.2[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • pytz==2025.2[random-forest-classifier]
    extra == "random-forest-classifier"
  • pytz==2025.2[random-forest-regressor]
    extra == "random-forest-regressor"
  • pytz==2025.2[ridge-regressor]
    extra == "ridge-regressor"
  • pytz==2025.2[saga-classifier]
    extra == "saga-classifier"
  • pytz==2025.2[sdca-classifier]
    extra == "sdca-classifier"
  • pytz==2025.2[sgd-classifier]
    extra == "sgd-classifier"
  • pytz==2025.2[sgd-regressor]
    extra == "sgd-regressor"
  • pytz==2025.2[stacking-classifier]
    extra == "stacking-classifier"
  • pytz==2025.2[stacking-regressor]
    extra == "stacking-regressor"
  • pytz==2025.2[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • pytz==2025.2[svm-classifier]
    extra == "svm-classifier"
  • pytz==2025.2[svr-regressor]
    extra == "svr-regressor"
  • pytz==2025.2[svrg-classifier]
    extra == "svrg-classifier"
  • pytz==2025.2[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • pytz==2025.2[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • pytz==2025.2[xgboost-classifier]
    extra == "xgboost-classifier"
  • pytz==2025.2[xgboost-regressor]
    extra == "xgboost-regressor"
  • pyyaml==6.0.2[adagrad-classifier]
    extra == "adagrad-classifier"
  • pyyaml==6.0.2[all]
    extra == "all"
  • pyyaml==6.0.2[ard-regressor]
    extra == "ard-regressor"
  • pyyaml==6.0.2[arima-forecaster]
    extra == "arima-forecaster"
  • pyyaml==6.0.2[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • pyyaml==6.0.2[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • pyyaml==6.0.2[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • pyyaml==6.0.2[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • pyyaml==6.0.2[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • pyyaml==6.0.2[catboost-classifier]
    extra == "catboost-classifier"
  • pyyaml==6.0.2[catboost-regressor]
    extra == "catboost-regressor"
  • pyyaml==6.0.2[cd-classifier]
    extra == "cd-classifier"
  • pyyaml==6.0.2[cd-regressor]
    extra == "cd-regressor"
  • pyyaml==6.0.2[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • pyyaml==6.0.2[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • pyyaml==6.0.2[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • pyyaml==6.0.2[external-runtime]
    extra == "external-runtime"
  • pyyaml==6.0.2[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • pyyaml==6.0.2[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • pyyaml==6.0.2[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • pyyaml==6.0.2[fista-classifier]
    extra == "fista-classifier"
  • pyyaml==6.0.2[fista-regressor]
    extra == "fista-regressor"
  • pyyaml==6.0.2[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • pyyaml==6.0.2[full-runtime]
    extra == "full-runtime"
  • pyyaml==6.0.2[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • pyyaml==6.0.2[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • pyyaml==6.0.2[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • pyyaml==6.0.2[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • pyyaml==6.0.2[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • pyyaml==6.0.2[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • pyyaml==6.0.2[huber-regressor]
    extra == "huber-regressor"
  • pyyaml==6.0.2[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • pyyaml==6.0.2[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • pyyaml==6.0.2[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • pyyaml==6.0.2[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • pyyaml==6.0.2[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • pyyaml==6.0.2[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • pyyaml==6.0.2[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • pyyaml==6.0.2[lasso-regressor]
    extra == "lasso-regressor"
  • pyyaml==6.0.2[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • pyyaml==6.0.2[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • pyyaml==6.0.2[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • pyyaml==6.0.2[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • pyyaml==6.0.2[linear-regressor]
    extra == "linear-regressor"
  • pyyaml==6.0.2[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • pyyaml==6.0.2[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • pyyaml==6.0.2[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • pyyaml==6.0.2[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • pyyaml==6.0.2[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • pyyaml==6.0.2[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • pyyaml==6.0.2[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • pyyaml==6.0.2[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • pyyaml==6.0.2[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • pyyaml==6.0.2[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • pyyaml==6.0.2[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • pyyaml==6.0.2[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • pyyaml==6.0.2[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • pyyaml==6.0.2[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • pyyaml==6.0.2[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • pyyaml==6.0.2[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • pyyaml==6.0.2[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • pyyaml==6.0.2[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • pyyaml==6.0.2[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • pyyaml==6.0.2[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • pyyaml==6.0.2[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • pyyaml==6.0.2[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • pyyaml==6.0.2[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • pyyaml==6.0.2[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • pyyaml==6.0.2[perceptron-classifier]
    extra == "perceptron-classifier"
  • pyyaml==6.0.2[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • pyyaml==6.0.2[pyyaml]
    extra == "pyyaml"
  • pyyaml==6.0.2[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • pyyaml==6.0.2[random-forest-classifier]
    extra == "random-forest-classifier"
  • pyyaml==6.0.2[random-forest-regressor]
    extra == "random-forest-regressor"
  • pyyaml==6.0.2[ridge-regressor]
    extra == "ridge-regressor"
  • pyyaml==6.0.2[saga-classifier]
    extra == "saga-classifier"
  • pyyaml==6.0.2[sdca-classifier]
    extra == "sdca-classifier"
  • pyyaml==6.0.2[sgd-classifier]
    extra == "sgd-classifier"
  • pyyaml==6.0.2[sgd-regressor]
    extra == "sgd-regressor"
  • pyyaml==6.0.2[stacking-classifier]
    extra == "stacking-classifier"
  • pyyaml==6.0.2[stacking-regressor]
    extra == "stacking-regressor"
  • pyyaml==6.0.2[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • pyyaml==6.0.2[svm-classifier]
    extra == "svm-classifier"
  • pyyaml==6.0.2[svr-regressor]
    extra == "svr-regressor"
  • pyyaml==6.0.2[svrg-classifier]
    extra == "svrg-classifier"
  • pyyaml==6.0.2[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • pyyaml==6.0.2[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • pyyaml==6.0.2[xgboost-classifier]
    extra == "xgboost-classifier"
  • pyyaml==6.0.2[xgboost-regressor]
    extra == "xgboost-regressor"
  • regex==2024.11.6[all]
    extra == "all"
  • regex==2024.11.6[external-runtime]
    extra == "external-runtime"
  • regex==2024.11.6[full-runtime]
    extra == "full-runtime"
  • regex==2024.11.6[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • regex==2024.11.6[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • regex==2024.11.6[regex]
    extra == "regex"
  • regex==2024.11.6[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • requests==2.32.3[all]
    extra == "all"
  • requests==2.32.3[external-runtime]
    extra == "external-runtime"
  • requests==2.32.3[full-runtime]
    extra == "full-runtime"
  • requests==2.32.3[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • requests==2.32.3[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • requests==2.32.3[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • requests==2.32.3[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • requests==2.32.3[requests]
    extra == "requests"
  • requests==2.32.3[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • rstr==3.2.2[external-runtime]
    extra == "external-runtime"
  • rstr==3.2.2[rstr]
    extra == "rstr"
  • ruamel-yaml==0.18.10[adagrad-classifier]
    extra == "adagrad-classifier"
  • ruamel-yaml==0.18.10[all]
    extra == "all"
  • ruamel-yaml==0.18.10[ard-regressor]
    extra == "ard-regressor"
  • ruamel-yaml==0.18.10[arima-forecaster]
    extra == "arima-forecaster"
  • ruamel-yaml==0.18.10[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • ruamel-yaml==0.18.10[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • ruamel-yaml==0.18.10[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • ruamel-yaml==0.18.10[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • ruamel-yaml==0.18.10[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • ruamel-yaml==0.18.10[catboost-classifier]
    extra == "catboost-classifier"
  • ruamel-yaml==0.18.10[catboost-regressor]
    extra == "catboost-regressor"
  • ruamel-yaml==0.18.10[cd-classifier]
    extra == "cd-classifier"
  • ruamel-yaml==0.18.10[cd-regressor]
    extra == "cd-regressor"
  • ruamel-yaml==0.18.10[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • ruamel-yaml==0.18.10[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • ruamel-yaml==0.18.10[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • ruamel-yaml==0.18.10[external-runtime]
    extra == "external-runtime"
  • ruamel-yaml==0.18.10[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • ruamel-yaml==0.18.10[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • ruamel-yaml==0.18.10[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • ruamel-yaml==0.18.10[fista-classifier]
    extra == "fista-classifier"
  • ruamel-yaml==0.18.10[fista-regressor]
    extra == "fista-regressor"
  • ruamel-yaml==0.18.10[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • ruamel-yaml==0.18.10[full-runtime]
    extra == "full-runtime"
  • ruamel-yaml==0.18.10[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • ruamel-yaml==0.18.10[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • ruamel-yaml==0.18.10[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • ruamel-yaml==0.18.10[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • ruamel-yaml==0.18.10[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • ruamel-yaml==0.18.10[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • ruamel-yaml==0.18.10[huber-regressor]
    extra == "huber-regressor"
  • ruamel-yaml==0.18.10[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • ruamel-yaml==0.18.10[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • ruamel-yaml==0.18.10[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • ruamel-yaml==0.18.10[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • ruamel-yaml==0.18.10[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • ruamel-yaml==0.18.10[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • ruamel-yaml==0.18.10[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • ruamel-yaml==0.18.10[lasso-regressor]
    extra == "lasso-regressor"
  • ruamel-yaml==0.18.10[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • ruamel-yaml==0.18.10[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • ruamel-yaml==0.18.10[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • ruamel-yaml==0.18.10[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • ruamel-yaml==0.18.10[linear-regressor]
    extra == "linear-regressor"
  • ruamel-yaml==0.18.10[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • ruamel-yaml==0.18.10[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • ruamel-yaml==0.18.10[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • ruamel-yaml==0.18.10[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • ruamel-yaml==0.18.10[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • ruamel-yaml==0.18.10[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • ruamel-yaml==0.18.10[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • ruamel-yaml==0.18.10[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • ruamel-yaml==0.18.10[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • ruamel-yaml==0.18.10[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • ruamel-yaml==0.18.10[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • ruamel-yaml==0.18.10[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • ruamel-yaml==0.18.10[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • ruamel-yaml==0.18.10[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • ruamel-yaml==0.18.10[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • ruamel-yaml==0.18.10[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • ruamel-yaml==0.18.10[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • ruamel-yaml==0.18.10[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • ruamel-yaml==0.18.10[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • ruamel-yaml==0.18.10[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • ruamel-yaml==0.18.10[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • ruamel-yaml==0.18.10[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • ruamel-yaml==0.18.10[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • ruamel-yaml==0.18.10[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • ruamel-yaml==0.18.10[perceptron-classifier]
    extra == "perceptron-classifier"
  • ruamel-yaml==0.18.10[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • ruamel-yaml==0.18.10[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • ruamel-yaml==0.18.10[random-forest-classifier]
    extra == "random-forest-classifier"
  • ruamel-yaml==0.18.10[random-forest-regressor]
    extra == "random-forest-regressor"
  • ruamel-yaml==0.18.10[ridge-regressor]
    extra == "ridge-regressor"
  • ruamel-yaml==0.18.10[ruamel-yaml]
    extra == "ruamel-yaml"
  • ruamel-yaml==0.18.10[saga-classifier]
    extra == "saga-classifier"
  • ruamel-yaml==0.18.10[sdca-classifier]
    extra == "sdca-classifier"
  • ruamel-yaml==0.18.10[sgd-classifier]
    extra == "sgd-classifier"
  • ruamel-yaml==0.18.10[sgd-regressor]
    extra == "sgd-regressor"
  • ruamel-yaml==0.18.10[stacking-classifier]
    extra == "stacking-classifier"
  • ruamel-yaml==0.18.10[stacking-regressor]
    extra == "stacking-regressor"
  • ruamel-yaml==0.18.10[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • ruamel-yaml==0.18.10[svm-classifier]
    extra == "svm-classifier"
  • ruamel-yaml==0.18.10[svr-regressor]
    extra == "svr-regressor"
  • ruamel-yaml==0.18.10[svrg-classifier]
    extra == "svrg-classifier"
  • ruamel-yaml==0.18.10[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • ruamel-yaml==0.18.10[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • ruamel-yaml==0.18.10[xgboost-classifier]
    extra == "xgboost-classifier"
  • ruamel-yaml==0.18.10[xgboost-regressor]
    extra == "xgboost-regressor"
  • ruamel-yaml-clib==0.2.12[adagrad-classifier]
    extra == "adagrad-classifier"
  • ruamel-yaml-clib==0.2.12[all]
    extra == "all"
  • ruamel-yaml-clib==0.2.12[ard-regressor]
    extra == "ard-regressor"
  • ruamel-yaml-clib==0.2.12[arima-forecaster]
    extra == "arima-forecaster"
  • ruamel-yaml-clib==0.2.12[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • ruamel-yaml-clib==0.2.12[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • ruamel-yaml-clib==0.2.12[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • ruamel-yaml-clib==0.2.12[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • ruamel-yaml-clib==0.2.12[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • ruamel-yaml-clib==0.2.12[catboost-classifier]
    extra == "catboost-classifier"
  • ruamel-yaml-clib==0.2.12[catboost-regressor]
    extra == "catboost-regressor"
  • ruamel-yaml-clib==0.2.12[cd-classifier]
    extra == "cd-classifier"
  • ruamel-yaml-clib==0.2.12[cd-regressor]
    extra == "cd-regressor"
  • ruamel-yaml-clib==0.2.12[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • ruamel-yaml-clib==0.2.12[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • ruamel-yaml-clib==0.2.12[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • ruamel-yaml-clib==0.2.12[external-runtime]
    extra == "external-runtime"
  • ruamel-yaml-clib==0.2.12[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • ruamel-yaml-clib==0.2.12[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • ruamel-yaml-clib==0.2.12[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • ruamel-yaml-clib==0.2.12[fista-classifier]
    extra == "fista-classifier"
  • ruamel-yaml-clib==0.2.12[fista-regressor]
    extra == "fista-regressor"
  • ruamel-yaml-clib==0.2.12[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • ruamel-yaml-clib==0.2.12[full-runtime]
    extra == "full-runtime"
  • ruamel-yaml-clib==0.2.12[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • ruamel-yaml-clib==0.2.12[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • ruamel-yaml-clib==0.2.12[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • ruamel-yaml-clib==0.2.12[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • ruamel-yaml-clib==0.2.12[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • ruamel-yaml-clib==0.2.12[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • ruamel-yaml-clib==0.2.12[huber-regressor]
    extra == "huber-regressor"
  • ruamel-yaml-clib==0.2.12[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • ruamel-yaml-clib==0.2.12[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • ruamel-yaml-clib==0.2.12[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • ruamel-yaml-clib==0.2.12[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • ruamel-yaml-clib==0.2.12[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • ruamel-yaml-clib==0.2.12[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • ruamel-yaml-clib==0.2.12[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • ruamel-yaml-clib==0.2.12[lasso-regressor]
    extra == "lasso-regressor"
  • ruamel-yaml-clib==0.2.12[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • ruamel-yaml-clib==0.2.12[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • ruamel-yaml-clib==0.2.12[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • ruamel-yaml-clib==0.2.12[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • ruamel-yaml-clib==0.2.12[linear-regressor]
    extra == "linear-regressor"
  • ruamel-yaml-clib==0.2.12[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • ruamel-yaml-clib==0.2.12[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • ruamel-yaml-clib==0.2.12[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • ruamel-yaml-clib==0.2.12[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • ruamel-yaml-clib==0.2.12[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • ruamel-yaml-clib==0.2.12[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • ruamel-yaml-clib==0.2.12[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • ruamel-yaml-clib==0.2.12[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • ruamel-yaml-clib==0.2.12[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • ruamel-yaml-clib==0.2.12[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • ruamel-yaml-clib==0.2.12[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • ruamel-yaml-clib==0.2.12[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • ruamel-yaml-clib==0.2.12[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • ruamel-yaml-clib==0.2.12[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • ruamel-yaml-clib==0.2.12[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • ruamel-yaml-clib==0.2.12[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • ruamel-yaml-clib==0.2.12[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • ruamel-yaml-clib==0.2.12[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • ruamel-yaml-clib==0.2.12[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • ruamel-yaml-clib==0.2.12[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • ruamel-yaml-clib==0.2.12[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • ruamel-yaml-clib==0.2.12[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • ruamel-yaml-clib==0.2.12[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • ruamel-yaml-clib==0.2.12[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • ruamel-yaml-clib==0.2.12[perceptron-classifier]
    extra == "perceptron-classifier"
  • ruamel-yaml-clib==0.2.12[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • ruamel-yaml-clib==0.2.12[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • ruamel-yaml-clib==0.2.12[random-forest-classifier]
    extra == "random-forest-classifier"
  • ruamel-yaml-clib==0.2.12[random-forest-regressor]
    extra == "random-forest-regressor"
  • ruamel-yaml-clib==0.2.12[ridge-regressor]
    extra == "ridge-regressor"
  • ruamel-yaml-clib==0.2.12[ruamel-yaml-clib]
    extra == "ruamel-yaml-clib"
  • ruamel-yaml-clib==0.2.12[saga-classifier]
    extra == "saga-classifier"
  • ruamel-yaml-clib==0.2.12[sdca-classifier]
    extra == "sdca-classifier"
  • ruamel-yaml-clib==0.2.12[sgd-classifier]
    extra == "sgd-classifier"
  • ruamel-yaml-clib==0.2.12[sgd-regressor]
    extra == "sgd-regressor"
  • ruamel-yaml-clib==0.2.12[stacking-classifier]
    extra == "stacking-classifier"
  • ruamel-yaml-clib==0.2.12[stacking-regressor]
    extra == "stacking-regressor"
  • ruamel-yaml-clib==0.2.12[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • ruamel-yaml-clib==0.2.12[svm-classifier]
    extra == "svm-classifier"
  • ruamel-yaml-clib==0.2.12[svr-regressor]
    extra == "svr-regressor"
  • ruamel-yaml-clib==0.2.12[svrg-classifier]
    extra == "svrg-classifier"
  • ruamel-yaml-clib==0.2.12[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • ruamel-yaml-clib==0.2.12[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • ruamel-yaml-clib==0.2.12[xgboost-classifier]
    extra == "xgboost-classifier"
  • ruamel-yaml-clib==0.2.12[xgboost-regressor]
    extra == "xgboost-regressor"
  • sacremoses==0.1.1[external-runtime]
    extra == "external-runtime"
  • sacremoses==0.1.1[sacremoses]
    extra == "sacremoses"
  • safetensors==0.5.3[all]
    extra == "all"
  • safetensors==0.5.3[external-runtime]
    extra == "external-runtime"
  • safetensors==0.5.3[full-runtime]
    extra == "full-runtime"
  • safetensors==0.5.3[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • safetensors==0.5.3[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • safetensors==0.5.3[safetensors]
    extra == "safetensors"
  • safetensors==0.5.3[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • schwifty==2025.1.0[external-runtime]
    extra == "external-runtime"
  • schwifty==2025.1.0[schwifty]
    extra == "schwifty"
  • scikit-base==0.12.2[all]
    extra == "all"
  • scikit-base==0.12.2[arima-forecaster]
    extra == "arima-forecaster"
  • scikit-base==0.12.2[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • scikit-base==0.12.2[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • scikit-base==0.12.2[external-runtime]
    extra == "external-runtime"
  • scikit-base==0.12.2[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • scikit-base==0.12.2[full-runtime]
    extra == "full-runtime"
  • scikit-base==0.12.2[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • scikit-base==0.12.2[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • scikit-base==0.12.2[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • scikit-base==0.12.2[scikit-base]
    extra == "scikit-base"
  • scikit-base==0.12.2[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • scikit-image==0.24.0[scikit-image]
    extra == "scikit-image"
  • scikit-learn==1.5.1[adagrad-classifier]
    extra == "adagrad-classifier"
  • scikit-learn==1.5.1[all]
    extra == "all"
  • scikit-learn==1.5.1[ard-regressor]
    extra == "ard-regressor"
  • scikit-learn==1.5.1[arima-forecaster]
    extra == "arima-forecaster"
  • scikit-learn==1.5.1[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • scikit-learn==1.5.1[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • scikit-learn==1.5.1[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • scikit-learn==1.5.1[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • scikit-learn==1.5.1[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • scikit-learn==1.5.1[catboost-classifier]
    extra == "catboost-classifier"
  • scikit-learn==1.5.1[catboost-regressor]
    extra == "catboost-regressor"
  • scikit-learn==1.5.1[cd-classifier]
    extra == "cd-classifier"
  • scikit-learn==1.5.1[cd-regressor]
    extra == "cd-regressor"
  • scikit-learn==1.5.1[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • scikit-learn==1.5.1[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • scikit-learn==1.5.1[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • scikit-learn==1.5.1[external-runtime]
    extra == "external-runtime"
  • scikit-learn==1.5.1[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • scikit-learn==1.5.1[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • scikit-learn==1.5.1[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • scikit-learn==1.5.1[fista-classifier]
    extra == "fista-classifier"
  • scikit-learn==1.5.1[fista-regressor]
    extra == "fista-regressor"
  • scikit-learn==1.5.1[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • scikit-learn==1.5.1[full-runtime]
    extra == "full-runtime"
  • scikit-learn==1.5.1[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • scikit-learn==1.5.1[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • scikit-learn==1.5.1[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • scikit-learn==1.5.1[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • scikit-learn==1.5.1[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • scikit-learn==1.5.1[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • scikit-learn==1.5.1[huber-regressor]
    extra == "huber-regressor"
  • scikit-learn==1.5.1[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • scikit-learn==1.5.1[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • scikit-learn==1.5.1[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • scikit-learn==1.5.1[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • scikit-learn==1.5.1[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • scikit-learn==1.5.1[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • scikit-learn==1.5.1[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • scikit-learn==1.5.1[lasso-regressor]
    extra == "lasso-regressor"
  • scikit-learn==1.5.1[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • scikit-learn==1.5.1[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • scikit-learn==1.5.1[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • scikit-learn==1.5.1[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • scikit-learn==1.5.1[linear-regressor]
    extra == "linear-regressor"
  • scikit-learn==1.5.1[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • scikit-learn==1.5.1[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • scikit-learn==1.5.1[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • scikit-learn==1.5.1[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • scikit-learn==1.5.1[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • scikit-learn==1.5.1[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • scikit-learn==1.5.1[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • scikit-learn==1.5.1[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • scikit-learn==1.5.1[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • scikit-learn==1.5.1[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • scikit-learn==1.5.1[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • scikit-learn==1.5.1[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • scikit-learn==1.5.1[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • scikit-learn==1.5.1[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • scikit-learn==1.5.1[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • scikit-learn==1.5.1[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • scikit-learn==1.5.1[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • scikit-learn==1.5.1[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • scikit-learn==1.5.1[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • scikit-learn==1.5.1[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • scikit-learn==1.5.1[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • scikit-learn==1.5.1[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • scikit-learn==1.5.1[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • scikit-learn==1.5.1[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • scikit-learn==1.5.1[perceptron-classifier]
    extra == "perceptron-classifier"
  • scikit-learn==1.5.1[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • scikit-learn==1.5.1[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • scikit-learn==1.5.1[random-forest-classifier]
    extra == "random-forest-classifier"
  • scikit-learn==1.5.1[random-forest-regressor]
    extra == "random-forest-regressor"
  • scikit-learn==1.5.1[ridge-regressor]
    extra == "ridge-regressor"
  • scikit-learn==1.5.1[saga-classifier]
    extra == "saga-classifier"
  • scikit-learn==1.5.1[scikit-learn]
    extra == "scikit-learn"
  • scikit-learn==1.5.1[sdca-classifier]
    extra == "sdca-classifier"
  • scikit-learn==1.5.1[sgd-classifier]
    extra == "sgd-classifier"
  • scikit-learn==1.5.1[sgd-regressor]
    extra == "sgd-regressor"
  • scikit-learn==1.5.1[stacking-classifier]
    extra == "stacking-classifier"
  • scikit-learn==1.5.1[stacking-regressor]
    extra == "stacking-regressor"
  • scikit-learn==1.5.1[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • scikit-learn==1.5.1[svm-classifier]
    extra == "svm-classifier"
  • scikit-learn==1.5.1[svr-regressor]
    extra == "svr-regressor"
  • scikit-learn==1.5.1[svrg-classifier]
    extra == "svrg-classifier"
  • scikit-learn==1.5.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • scikit-learn==1.5.1[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • scikit-learn==1.5.1[xgboost-classifier]
    extra == "xgboost-classifier"
  • scikit-learn==1.5.1[xgboost-regressor]
    extra == "xgboost-regressor"
  • scikit-learn-intelex==2024.5.0[all]
    extra == "all"
  • scikit-learn-intelex==2024.5.0[external-runtime]
    extra == "external-runtime"
  • scikit-learn-intelex==2024.5.0[full-runtime]
    extra == "full-runtime"
  • scikit-learn-intelex==2024.5.0[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • scikit-learn-intelex==2024.5.0[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • scikit-learn-intelex==2024.5.0[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • scikit-learn-intelex==2024.5.0[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • scikit-learn-intelex==2024.5.0[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • scikit-learn-intelex==2024.5.0[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • scikit-learn-intelex==2024.5.0[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • scikit-learn-intelex==2024.5.0[scikit-learn-intelex]
    extra == "scikit-learn-intelex"
  • scikit-learn-intelex==2024.5.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • scipy==1.13.1[adagrad-classifier]
    extra == "adagrad-classifier"
  • scipy==1.13.1[all]
    extra == "all"
  • scipy==1.13.1[ard-regressor]
    extra == "ard-regressor"
  • scipy==1.13.1[arima-forecaster]
    extra == "arima-forecaster"
  • scipy==1.13.1[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • scipy==1.13.1[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • scipy==1.13.1[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • scipy==1.13.1[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • scipy==1.13.1[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • scipy==1.13.1[catboost-classifier]
    extra == "catboost-classifier"
  • scipy==1.13.1[catboost-regressor]
    extra == "catboost-regressor"
  • scipy==1.13.1[cd-classifier]
    extra == "cd-classifier"
  • scipy==1.13.1[cd-regressor]
    extra == "cd-regressor"
  • scipy==1.13.1[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • scipy==1.13.1[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • scipy==1.13.1[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • scipy==1.13.1[external-runtime]
    extra == "external-runtime"
  • scipy==1.13.1[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • scipy==1.13.1[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • scipy==1.13.1[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • scipy==1.13.1[fista-classifier]
    extra == "fista-classifier"
  • scipy==1.13.1[fista-regressor]
    extra == "fista-regressor"
  • scipy==1.13.1[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • scipy==1.13.1[full-runtime]
    extra == "full-runtime"
  • scipy==1.13.1[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • scipy==1.13.1[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • scipy==1.13.1[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • scipy==1.13.1[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • scipy==1.13.1[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • scipy==1.13.1[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • scipy==1.13.1[huber-regressor]
    extra == "huber-regressor"
  • scipy==1.13.1[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • scipy==1.13.1[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • scipy==1.13.1[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • scipy==1.13.1[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • scipy==1.13.1[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • scipy==1.13.1[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • scipy==1.13.1[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • scipy==1.13.1[lasso-regressor]
    extra == "lasso-regressor"
  • scipy==1.13.1[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • scipy==1.13.1[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • scipy==1.13.1[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • scipy==1.13.1[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • scipy==1.13.1[linear-regressor]
    extra == "linear-regressor"
  • scipy==1.13.1[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • scipy==1.13.1[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • scipy==1.13.1[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • scipy==1.13.1[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • scipy==1.13.1[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • scipy==1.13.1[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • scipy==1.13.1[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • scipy==1.13.1[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • scipy==1.13.1[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • scipy==1.13.1[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • scipy==1.13.1[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • scipy==1.13.1[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • scipy==1.13.1[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • scipy==1.13.1[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • scipy==1.13.1[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • scipy==1.13.1[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • scipy==1.13.1[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • scipy==1.13.1[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • scipy==1.13.1[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • scipy==1.13.1[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • scipy==1.13.1[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • scipy==1.13.1[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • scipy==1.13.1[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • scipy==1.13.1[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • scipy==1.13.1[perceptron-classifier]
    extra == "perceptron-classifier"
  • scipy==1.13.1[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • scipy==1.13.1[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • scipy==1.13.1[random-forest-classifier]
    extra == "random-forest-classifier"
  • scipy==1.13.1[random-forest-regressor]
    extra == "random-forest-regressor"
  • scipy==1.13.1[ridge-regressor]
    extra == "ridge-regressor"
  • scipy==1.13.1[saga-classifier]
    extra == "saga-classifier"
  • scipy==1.13.1[scipy]
    extra == "scipy"
  • scipy==1.13.1[sdca-classifier]
    extra == "sdca-classifier"
  • scipy==1.13.1[sgd-classifier]
    extra == "sgd-classifier"
  • scipy==1.13.1[sgd-regressor]
    extra == "sgd-regressor"
  • scipy==1.13.1[stacking-classifier]
    extra == "stacking-classifier"
  • scipy==1.13.1[stacking-regressor]
    extra == "stacking-regressor"
  • scipy==1.13.1[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • scipy==1.13.1[svm-classifier]
    extra == "svm-classifier"
  • scipy==1.13.1[svr-regressor]
    extra == "svr-regressor"
  • scipy==1.13.1[svrg-classifier]
    extra == "svrg-classifier"
  • scipy==1.13.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • scipy==1.13.1[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • scipy==1.13.1[xgboost-classifier]
    extra == "xgboost-classifier"
  • scipy==1.13.1[xgboost-regressor]
    extra == "xgboost-regressor"
  • shap==0.46.0[all]
    extra == "all"
  • shap==0.46.0[external-runtime]
    extra == "external-runtime"
  • shap==0.46.0[full-runtime]
    extra == "full-runtime"
  • shap==0.46.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • shap==0.46.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • shap==0.46.0[shap]
    extra == "shap"
  • shap==0.46.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • six==1.17.0[adagrad-classifier]
    extra == "adagrad-classifier"
  • six==1.17.0[all]
    extra == "all"
  • six==1.17.0[ard-regressor]
    extra == "ard-regressor"
  • six==1.17.0[arima-forecaster]
    extra == "arima-forecaster"
  • six==1.17.0[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • six==1.17.0[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • six==1.17.0[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • six==1.17.0[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • six==1.17.0[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • six==1.17.0[catboost-classifier]
    extra == "catboost-classifier"
  • six==1.17.0[catboost-regressor]
    extra == "catboost-regressor"
  • six==1.17.0[cd-classifier]
    extra == "cd-classifier"
  • six==1.17.0[cd-regressor]
    extra == "cd-regressor"
  • six==1.17.0[data-science]
    extra == "data-science"
  • six==1.17.0[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • six==1.17.0[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • six==1.17.0[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • six==1.17.0[external-runtime]
    extra == "external-runtime"
  • six==1.17.0[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • six==1.17.0[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • six==1.17.0[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • six==1.17.0[fista-classifier]
    extra == "fista-classifier"
  • six==1.17.0[fista-regressor]
    extra == "fista-regressor"
  • six==1.17.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • six==1.17.0[full-runtime]
    extra == "full-runtime"
  • six==1.17.0[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • six==1.17.0[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • six==1.17.0[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • six==1.17.0[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • six==1.17.0[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • six==1.17.0[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • six==1.17.0[huber-regressor]
    extra == "huber-regressor"
  • six==1.17.0[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • six==1.17.0[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • six==1.17.0[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • six==1.17.0[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • six==1.17.0[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • six==1.17.0[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • six==1.17.0[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • six==1.17.0[lasso-regressor]
    extra == "lasso-regressor"
  • six==1.17.0[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • six==1.17.0[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • six==1.17.0[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • six==1.17.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • six==1.17.0[linear-regressor]
    extra == "linear-regressor"
  • six==1.17.0[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • six==1.17.0[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • six==1.17.0[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • six==1.17.0[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • six==1.17.0[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • six==1.17.0[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • six==1.17.0[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • six==1.17.0[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • six==1.17.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • six==1.17.0[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • six==1.17.0[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • six==1.17.0[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • six==1.17.0[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • six==1.17.0[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • six==1.17.0[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • six==1.17.0[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • six==1.17.0[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • six==1.17.0[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • six==1.17.0[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • six==1.17.0[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • six==1.17.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • six==1.17.0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • six==1.17.0[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • six==1.17.0[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • six==1.17.0[perceptron-classifier]
    extra == "perceptron-classifier"
  • six==1.17.0[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • six==1.17.0[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • six==1.17.0[random-forest-classifier]
    extra == "random-forest-classifier"
  • six==1.17.0[random-forest-regressor]
    extra == "random-forest-regressor"
  • six==1.17.0[ridge-regressor]
    extra == "ridge-regressor"
  • six==1.17.0[saga-classifier]
    extra == "saga-classifier"
  • six==1.17.0[sdca-classifier]
    extra == "sdca-classifier"
  • six==1.17.0[sgd-classifier]
    extra == "sgd-classifier"
  • six==1.17.0[sgd-regressor]
    extra == "sgd-regressor"
  • six==1.17.0[six]
    extra == "six"
  • six==1.17.0[stacking-classifier]
    extra == "stacking-classifier"
  • six==1.17.0[stacking-regressor]
    extra == "stacking-regressor"
  • six==1.17.0[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • six==1.17.0[svm-classifier]
    extra == "svm-classifier"
  • six==1.17.0[svr-regressor]
    extra == "svr-regressor"
  • six==1.17.0[svrg-classifier]
    extra == "svrg-classifier"
  • six==1.17.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • six==1.17.0[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • six==1.17.0[xgboost-classifier]
    extra == "xgboost-classifier"
  • six==1.17.0[xgboost-regressor]
    extra == "xgboost-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[adagrad-classifier]
    extra == "adagrad-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[all]
    extra == "all"
  • sklearn-contrib-lightning==0.6.2.post0[ard-regressor]
    extra == "ard-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[arima-forecaster]
    extra == "arima-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[catboost-classifier]
    extra == "catboost-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[catboost-regressor]
    extra == "catboost-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[cd-classifier]
    extra == "cd-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[cd-regressor]
    extra == "cd-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[external-runtime]
    extra == "external-runtime"
  • sklearn-contrib-lightning==0.6.2.post0[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[fista-classifier]
    extra == "fista-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[fista-regressor]
    extra == "fista-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • sklearn-contrib-lightning==0.6.2.post0[full-runtime]
    extra == "full-runtime"
  • sklearn-contrib-lightning==0.6.2.post0[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[huber-regressor]
    extra == "huber-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[lasso-regressor]
    extra == "lasso-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[linear-regressor]
    extra == "linear-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • sklearn-contrib-lightning==0.6.2.post0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[perceptron-classifier]
    extra == "perceptron-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[random-forest-classifier]
    extra == "random-forest-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[random-forest-regressor]
    extra == "random-forest-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[ridge-regressor]
    extra == "ridge-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[saga-classifier]
    extra == "saga-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[sdca-classifier]
    extra == "sdca-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[sgd-classifier]
    extra == "sgd-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[sgd-regressor]
    extra == "sgd-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[sklearn-contrib-lightning]
    extra == "sklearn-contrib-lightning"
  • sklearn-contrib-lightning==0.6.2.post0[stacking-classifier]
    extra == "stacking-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[stacking-regressor]
    extra == "stacking-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[svm-classifier]
    extra == "svm-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[svr-regressor]
    extra == "svr-regressor"
  • sklearn-contrib-lightning==0.6.2.post0[svrg-classifier]
    extra == "svrg-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • sklearn-contrib-lightning==0.6.2.post0[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[xgboost-classifier]
    extra == "xgboost-classifier"
  • sklearn-contrib-lightning==0.6.2.post0[xgboost-regressor]
    extra == "xgboost-regressor"
  • sktime==0.35.0[all]
    extra == "all"
  • sktime==0.35.0[arima-forecaster]
    extra == "arima-forecaster"
  • sktime==0.35.0[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • sktime==0.35.0[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • sktime==0.35.0[external-runtime]
    extra == "external-runtime"
  • sktime==0.35.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • sktime==0.35.0[full-runtime]
    extra == "full-runtime"
  • sktime==0.35.0[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • sktime==0.35.0[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • sktime==0.35.0[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • sktime==0.35.0[sktime]
    extra == "sktime"
  • sktime==0.35.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • slicer==0.0.8[all]
    extra == "all"
  • slicer==0.0.8[external-runtime]
    extra == "external-runtime"
  • slicer==0.0.8[full-runtime]
    extra == "full-runtime"
  • slicer==0.0.8[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • slicer==0.0.8[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • slicer==0.0.8[slicer]
    extra == "slicer"
  • slicer==0.0.8[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • sortedcontainers==2.4.0[adagrad-classifier]
    extra == "adagrad-classifier"
  • sortedcontainers==2.4.0[all]
    extra == "all"
  • sortedcontainers==2.4.0[ard-regressor]
    extra == "ard-regressor"
  • sortedcontainers==2.4.0[arima-forecaster]
    extra == "arima-forecaster"
  • sortedcontainers==2.4.0[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • sortedcontainers==2.4.0[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • sortedcontainers==2.4.0[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • sortedcontainers==2.4.0[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • sortedcontainers==2.4.0[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • sortedcontainers==2.4.0[catboost-classifier]
    extra == "catboost-classifier"
  • sortedcontainers==2.4.0[catboost-regressor]
    extra == "catboost-regressor"
  • sortedcontainers==2.4.0[cd-classifier]
    extra == "cd-classifier"
  • sortedcontainers==2.4.0[cd-regressor]
    extra == "cd-regressor"
  • sortedcontainers==2.4.0[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • sortedcontainers==2.4.0[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • sortedcontainers==2.4.0[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • sortedcontainers==2.4.0[external-runtime]
    extra == "external-runtime"
  • sortedcontainers==2.4.0[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • sortedcontainers==2.4.0[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • sortedcontainers==2.4.0[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • sortedcontainers==2.4.0[fista-classifier]
    extra == "fista-classifier"
  • sortedcontainers==2.4.0[fista-regressor]
    extra == "fista-regressor"
  • sortedcontainers==2.4.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • sortedcontainers==2.4.0[full-runtime]
    extra == "full-runtime"
  • sortedcontainers==2.4.0[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • sortedcontainers==2.4.0[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • sortedcontainers==2.4.0[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • sortedcontainers==2.4.0[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • sortedcontainers==2.4.0[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • sortedcontainers==2.4.0[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • sortedcontainers==2.4.0[huber-regressor]
    extra == "huber-regressor"
  • sortedcontainers==2.4.0[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • sortedcontainers==2.4.0[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • sortedcontainers==2.4.0[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • sortedcontainers==2.4.0[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • sortedcontainers==2.4.0[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • sortedcontainers==2.4.0[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • sortedcontainers==2.4.0[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • sortedcontainers==2.4.0[lasso-regressor]
    extra == "lasso-regressor"
  • sortedcontainers==2.4.0[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • sortedcontainers==2.4.0[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • sortedcontainers==2.4.0[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • sortedcontainers==2.4.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • sortedcontainers==2.4.0[linear-regressor]
    extra == "linear-regressor"
  • sortedcontainers==2.4.0[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • sortedcontainers==2.4.0[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • sortedcontainers==2.4.0[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • sortedcontainers==2.4.0[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • sortedcontainers==2.4.0[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • sortedcontainers==2.4.0[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • sortedcontainers==2.4.0[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • sortedcontainers==2.4.0[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • sortedcontainers==2.4.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • sortedcontainers==2.4.0[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • sortedcontainers==2.4.0[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • sortedcontainers==2.4.0[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • sortedcontainers==2.4.0[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • sortedcontainers==2.4.0[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • sortedcontainers==2.4.0[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • sortedcontainers==2.4.0[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • sortedcontainers==2.4.0[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • sortedcontainers==2.4.0[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • sortedcontainers==2.4.0[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • sortedcontainers==2.4.0[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • sortedcontainers==2.4.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • sortedcontainers==2.4.0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • sortedcontainers==2.4.0[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • sortedcontainers==2.4.0[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • sortedcontainers==2.4.0[perceptron-classifier]
    extra == "perceptron-classifier"
  • sortedcontainers==2.4.0[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • sortedcontainers==2.4.0[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • sortedcontainers==2.4.0[random-forest-classifier]
    extra == "random-forest-classifier"
  • sortedcontainers==2.4.0[random-forest-regressor]
    extra == "random-forest-regressor"
  • sortedcontainers==2.4.0[ridge-regressor]
    extra == "ridge-regressor"
  • sortedcontainers==2.4.0[saga-classifier]
    extra == "saga-classifier"
  • sortedcontainers==2.4.0[sdca-classifier]
    extra == "sdca-classifier"
  • sortedcontainers==2.4.0[sgd-classifier]
    extra == "sgd-classifier"
  • sortedcontainers==2.4.0[sgd-regressor]
    extra == "sgd-regressor"
  • sortedcontainers==2.4.0[sortedcontainers]
    extra == "sortedcontainers"
  • sortedcontainers==2.4.0[stacking-classifier]
    extra == "stacking-classifier"
  • sortedcontainers==2.4.0[stacking-regressor]
    extra == "stacking-regressor"
  • sortedcontainers==2.4.0[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • sortedcontainers==2.4.0[svm-classifier]
    extra == "svm-classifier"
  • sortedcontainers==2.4.0[svr-regressor]
    extra == "svr-regressor"
  • sortedcontainers==2.4.0[svrg-classifier]
    extra == "svrg-classifier"
  • sortedcontainers==2.4.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • sortedcontainers==2.4.0[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • sortedcontainers==2.4.0[xgboost-classifier]
    extra == "xgboost-classifier"
  • sortedcontainers==2.4.0[xgboost-regressor]
    extra == "xgboost-regressor"
  • sqlalchemy==2.0.41[sqlalchemy]
    extra == "sqlalchemy"
  • statsforecast==2.0.1[all]
    extra == "all"
  • statsforecast==2.0.1[external-runtime]
    extra == "external-runtime"
  • statsforecast==2.0.1[full-runtime]
    extra == "full-runtime"
  • statsforecast==2.0.1[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • statsforecast==2.0.1[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • statsforecast==2.0.1[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • statsforecast==2.0.1[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • statsforecast==2.0.1[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • statsforecast==2.0.1[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • statsforecast==2.0.1[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • statsforecast==2.0.1[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • statsforecast==2.0.1[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • statsforecast==2.0.1[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • statsforecast==2.0.1[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • statsforecast==2.0.1[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • statsforecast==2.0.1[statsforecast]
    extra == "statsforecast"
  • statsforecast==2.0.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • statsmodels==0.14.4[all]
    extra == "all"
  • statsmodels==0.14.4[arima-forecaster]
    extra == "arima-forecaster"
  • statsmodels==0.14.4[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • statsmodels==0.14.4[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • statsmodels==0.14.4[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • statsmodels==0.14.4[external-runtime]
    extra == "external-runtime"
  • statsmodels==0.14.4[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • statsmodels==0.14.4[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • statsmodels==0.14.4[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • statsmodels==0.14.4[full-runtime]
    extra == "full-runtime"
  • statsmodels==0.14.4[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • statsmodels==0.14.4[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • statsmodels==0.14.4[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • statsmodels==0.14.4[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • statsmodels==0.14.4[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • statsmodels==0.14.4[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • statsmodels==0.14.4[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • statsmodels==0.14.4[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • statsmodels==0.14.4[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • statsmodels==0.14.4[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • statsmodels==0.14.4[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • statsmodels==0.14.4[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • statsmodels==0.14.4[statsmodels]
    extra == "statsmodels"
  • statsmodels==0.14.4[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • sympy==1.13.1[all]
    extra == "all"
  • sympy==1.13.1[external-runtime]
    extra == "external-runtime"
  • sympy==1.13.1[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • sympy==1.13.1[full-runtime]
    extra == "full-runtime"
  • sympy==1.13.1[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • sympy==1.13.1[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • sympy==1.13.1[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • sympy==1.13.1[sympy]
    extra == "sympy"
  • sympy==1.13.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • tbats==1.1.3[all]
    extra == "all"
  • tbats==1.1.3[external-runtime]
    extra == "external-runtime"
  • tbats==1.1.3[full-runtime]
    extra == "full-runtime"
  • tbats==1.1.3[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • tbats==1.1.3[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • tbats==1.1.3[tbats]
    extra == "tbats"
  • tbats==1.1.3[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • tbb==2021.13.1[all]
    extra == "all"
  • tbb==2021.13.1[external-runtime]
    extra == "external-runtime"
  • tbb==2021.13.1[full-runtime]
    extra == "full-runtime"
  • tbb==2021.13.1[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • tbb==2021.13.1[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • tbb==2021.13.1[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • tbb==2021.13.1[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • tbb==2021.13.1[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • tbb==2021.13.1[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • tbb==2021.13.1[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • tbb==2021.13.1[tbb]
    extra == "tbb"
  • tbb==2021.13.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • tensorboardx==2.6.2.2[all]
    extra == "all"
  • tensorboardx==2.6.2.2[external-runtime]
    extra == "external-runtime"
  • tensorboardx==2.6.2.2[full-runtime]
    extra == "full-runtime"
  • tensorboardx==2.6.2.2[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • tensorboardx==2.6.2.2[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • tensorboardx==2.6.2.2[tensorboardx]
    extra == "tensorboardx"
  • tensorboardx==2.6.2.2[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • textsearch==0.0.24[external-runtime]
    extra == "external-runtime"
  • textsearch==0.0.24[textsearch]
    extra == "textsearch"
  • threadpoolctl==3.6.0[adagrad-classifier]
    extra == "adagrad-classifier"
  • threadpoolctl==3.6.0[all]
    extra == "all"
  • threadpoolctl==3.6.0[ard-regressor]
    extra == "ard-regressor"
  • threadpoolctl==3.6.0[arima-forecaster]
    extra == "arima-forecaster"
  • threadpoolctl==3.6.0[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • threadpoolctl==3.6.0[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • threadpoolctl==3.6.0[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • threadpoolctl==3.6.0[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • threadpoolctl==3.6.0[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • threadpoolctl==3.6.0[catboost-classifier]
    extra == "catboost-classifier"
  • threadpoolctl==3.6.0[catboost-regressor]
    extra == "catboost-regressor"
  • threadpoolctl==3.6.0[cd-classifier]
    extra == "cd-classifier"
  • threadpoolctl==3.6.0[cd-regressor]
    extra == "cd-regressor"
  • threadpoolctl==3.6.0[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • threadpoolctl==3.6.0[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • threadpoolctl==3.6.0[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • threadpoolctl==3.6.0[external-runtime]
    extra == "external-runtime"
  • threadpoolctl==3.6.0[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • threadpoolctl==3.6.0[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • threadpoolctl==3.6.0[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • threadpoolctl==3.6.0[fista-classifier]
    extra == "fista-classifier"
  • threadpoolctl==3.6.0[fista-regressor]
    extra == "fista-regressor"
  • threadpoolctl==3.6.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • threadpoolctl==3.6.0[full-runtime]
    extra == "full-runtime"
  • threadpoolctl==3.6.0[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • threadpoolctl==3.6.0[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • threadpoolctl==3.6.0[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • threadpoolctl==3.6.0[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • threadpoolctl==3.6.0[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • threadpoolctl==3.6.0[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • threadpoolctl==3.6.0[huber-regressor]
    extra == "huber-regressor"
  • threadpoolctl==3.6.0[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • threadpoolctl==3.6.0[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • threadpoolctl==3.6.0[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • threadpoolctl==3.6.0[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • threadpoolctl==3.6.0[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • threadpoolctl==3.6.0[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • threadpoolctl==3.6.0[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • threadpoolctl==3.6.0[lasso-regressor]
    extra == "lasso-regressor"
  • threadpoolctl==3.6.0[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • threadpoolctl==3.6.0[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • threadpoolctl==3.6.0[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • threadpoolctl==3.6.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • threadpoolctl==3.6.0[linear-regressor]
    extra == "linear-regressor"
  • threadpoolctl==3.6.0[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • threadpoolctl==3.6.0[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • threadpoolctl==3.6.0[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • threadpoolctl==3.6.0[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • threadpoolctl==3.6.0[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • threadpoolctl==3.6.0[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • threadpoolctl==3.6.0[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • threadpoolctl==3.6.0[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • threadpoolctl==3.6.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • threadpoolctl==3.6.0[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • threadpoolctl==3.6.0[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • threadpoolctl==3.6.0[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • threadpoolctl==3.6.0[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • threadpoolctl==3.6.0[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • threadpoolctl==3.6.0[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • threadpoolctl==3.6.0[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • threadpoolctl==3.6.0[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • threadpoolctl==3.6.0[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • threadpoolctl==3.6.0[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • threadpoolctl==3.6.0[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • threadpoolctl==3.6.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • threadpoolctl==3.6.0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • threadpoolctl==3.6.0[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • threadpoolctl==3.6.0[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • threadpoolctl==3.6.0[perceptron-classifier]
    extra == "perceptron-classifier"
  • threadpoolctl==3.6.0[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • threadpoolctl==3.6.0[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • threadpoolctl==3.6.0[random-forest-classifier]
    extra == "random-forest-classifier"
  • threadpoolctl==3.6.0[random-forest-regressor]
    extra == "random-forest-regressor"
  • threadpoolctl==3.6.0[ridge-regressor]
    extra == "ridge-regressor"
  • threadpoolctl==3.6.0[saga-classifier]
    extra == "saga-classifier"
  • threadpoolctl==3.6.0[sdca-classifier]
    extra == "sdca-classifier"
  • threadpoolctl==3.6.0[sgd-classifier]
    extra == "sgd-classifier"
  • threadpoolctl==3.6.0[sgd-regressor]
    extra == "sgd-regressor"
  • threadpoolctl==3.6.0[stacking-classifier]
    extra == "stacking-classifier"
  • threadpoolctl==3.6.0[stacking-regressor]
    extra == "stacking-regressor"
  • threadpoolctl==3.6.0[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • threadpoolctl==3.6.0[svm-classifier]
    extra == "svm-classifier"
  • threadpoolctl==3.6.0[svr-regressor]
    extra == "svr-regressor"
  • threadpoolctl==3.6.0[svrg-classifier]
    extra == "svrg-classifier"
  • threadpoolctl==3.6.0[threadpoolctl]
    extra == "threadpoolctl"
  • threadpoolctl==3.6.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • threadpoolctl==3.6.0[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • threadpoolctl==3.6.0[xgboost-classifier]
    extra == "xgboost-classifier"
  • threadpoolctl==3.6.0[xgboost-regressor]
    extra == "xgboost-regressor"
  • tifffile==2024.8.30[tifffile]
    extra == "tifffile"
  • tokenizers==0.21.1[all]
    extra == "all"
  • tokenizers==0.21.1[external-runtime]
    extra == "external-runtime"
  • tokenizers==0.21.1[full-runtime]
    extra == "full-runtime"
  • tokenizers==0.21.1[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • tokenizers==0.21.1[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • tokenizers==0.21.1[tokenizers]
    extra == "tokenizers"
  • tokenizers==0.21.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • tomli==2.2.1[adagrad-classifier]
    extra == "adagrad-classifier"
  • tomli==2.2.1[all]
    extra == "all"
  • tomli==2.2.1[ard-regressor]
    extra == "ard-regressor"
  • tomli==2.2.1[arima-forecaster]
    extra == "arima-forecaster"
  • tomli==2.2.1[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • tomli==2.2.1[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • tomli==2.2.1[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • tomli==2.2.1[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • tomli==2.2.1[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • tomli==2.2.1[catboost-classifier]
    extra == "catboost-classifier"
  • tomli==2.2.1[catboost-regressor]
    extra == "catboost-regressor"
  • tomli==2.2.1[cd-classifier]
    extra == "cd-classifier"
  • tomli==2.2.1[cd-regressor]
    extra == "cd-regressor"
  • tomli==2.2.1[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • tomli==2.2.1[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • tomli==2.2.1[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • tomli==2.2.1[external-runtime]
    extra == "external-runtime"
  • tomli==2.2.1[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • tomli==2.2.1[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • tomli==2.2.1[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • tomli==2.2.1[fista-classifier]
    extra == "fista-classifier"
  • tomli==2.2.1[fista-regressor]
    extra == "fista-regressor"
  • tomli==2.2.1[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • tomli==2.2.1[full-runtime]
    extra == "full-runtime"
  • tomli==2.2.1[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • tomli==2.2.1[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • tomli==2.2.1[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • tomli==2.2.1[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • tomli==2.2.1[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • tomli==2.2.1[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • tomli==2.2.1[huber-regressor]
    extra == "huber-regressor"
  • tomli==2.2.1[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • tomli==2.2.1[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • tomli==2.2.1[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • tomli==2.2.1[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • tomli==2.2.1[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • tomli==2.2.1[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • tomli==2.2.1[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • tomli==2.2.1[lasso-regressor]
    extra == "lasso-regressor"
  • tomli==2.2.1[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • tomli==2.2.1[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • tomli==2.2.1[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • tomli==2.2.1[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • tomli==2.2.1[linear-regressor]
    extra == "linear-regressor"
  • tomli==2.2.1[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • tomli==2.2.1[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • tomli==2.2.1[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • tomli==2.2.1[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • tomli==2.2.1[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • tomli==2.2.1[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • tomli==2.2.1[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • tomli==2.2.1[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • tomli==2.2.1[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • tomli==2.2.1[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • tomli==2.2.1[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • tomli==2.2.1[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • tomli==2.2.1[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • tomli==2.2.1[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • tomli==2.2.1[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • tomli==2.2.1[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • tomli==2.2.1[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • tomli==2.2.1[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • tomli==2.2.1[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • tomli==2.2.1[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • tomli==2.2.1[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • tomli==2.2.1[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • tomli==2.2.1[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • tomli==2.2.1[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • tomli==2.2.1[perceptron-classifier]
    extra == "perceptron-classifier"
  • tomli==2.2.1[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • tomli==2.2.1[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • tomli==2.2.1[random-forest-classifier]
    extra == "random-forest-classifier"
  • tomli==2.2.1[random-forest-regressor]
    extra == "random-forest-regressor"
  • tomli==2.2.1[ridge-regressor]
    extra == "ridge-regressor"
  • tomli==2.2.1[saga-classifier]
    extra == "saga-classifier"
  • tomli==2.2.1[sdca-classifier]
    extra == "sdca-classifier"
  • tomli==2.2.1[sgd-classifier]
    extra == "sgd-classifier"
  • tomli==2.2.1[sgd-regressor]
    extra == "sgd-regressor"
  • tomli==2.2.1[stacking-classifier]
    extra == "stacking-classifier"
  • tomli==2.2.1[stacking-regressor]
    extra == "stacking-regressor"
  • tomli==2.2.1[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • tomli==2.2.1[svm-classifier]
    extra == "svm-classifier"
  • tomli==2.2.1[svr-regressor]
    extra == "svr-regressor"
  • tomli==2.2.1[svrg-classifier]
    extra == "svrg-classifier"
  • tomli==2.2.1[tomli]
    extra == "tomli"
  • tomli==2.2.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • tomli==2.2.1[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • tomli==2.2.1[xgboost-classifier]
    extra == "xgboost-classifier"
  • tomli==2.2.1[xgboost-regressor]
    extra == "xgboost-regressor"
  • torch==2.5.1[all]
    extra == "all"
  • torch==2.5.1[external-runtime]
    extra == "external-runtime"
  • torch==2.5.1[full-runtime]
    extra == "full-runtime"
  • torch==2.5.1[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • torch==2.5.1[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • torch==2.5.1[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • torch==2.5.1[torch]
    extra == "torch"
  • torch==2.5.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • torchmetrics==1.7.1[all]
    extra == "all"
  • torchmetrics==1.7.1[external-runtime]
    extra == "external-runtime"
  • torchmetrics==1.7.1[full-runtime]
    extra == "full-runtime"
  • torchmetrics==1.7.1[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • torchmetrics==1.7.1[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • torchmetrics==1.7.1[torchmetrics]
    extra == "torchmetrics"
  • torchmetrics==1.7.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • tqdm==4.67.1[adagrad-classifier]
    extra == "adagrad-classifier"
  • tqdm==4.67.1[all]
    extra == "all"
  • tqdm==4.67.1[ard-regressor]
    extra == "ard-regressor"
  • tqdm==4.67.1[arima-forecaster]
    extra == "arima-forecaster"
  • tqdm==4.67.1[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • tqdm==4.67.1[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • tqdm==4.67.1[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • tqdm==4.67.1[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • tqdm==4.67.1[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • tqdm==4.67.1[catboost-classifier]
    extra == "catboost-classifier"
  • tqdm==4.67.1[catboost-regressor]
    extra == "catboost-regressor"
  • tqdm==4.67.1[cd-classifier]
    extra == "cd-classifier"
  • tqdm==4.67.1[cd-regressor]
    extra == "cd-regressor"
  • tqdm==4.67.1[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • tqdm==4.67.1[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • tqdm==4.67.1[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • tqdm==4.67.1[external-runtime]
    extra == "external-runtime"
  • tqdm==4.67.1[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • tqdm==4.67.1[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • tqdm==4.67.1[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • tqdm==4.67.1[fista-classifier]
    extra == "fista-classifier"
  • tqdm==4.67.1[fista-regressor]
    extra == "fista-regressor"
  • tqdm==4.67.1[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • tqdm==4.67.1[full-runtime]
    extra == "full-runtime"
  • tqdm==4.67.1[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • tqdm==4.67.1[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • tqdm==4.67.1[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • tqdm==4.67.1[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • tqdm==4.67.1[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • tqdm==4.67.1[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • tqdm==4.67.1[huber-regressor]
    extra == "huber-regressor"
  • tqdm==4.67.1[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • tqdm==4.67.1[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • tqdm==4.67.1[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • tqdm==4.67.1[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • tqdm==4.67.1[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • tqdm==4.67.1[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • tqdm==4.67.1[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • tqdm==4.67.1[lasso-regressor]
    extra == "lasso-regressor"
  • tqdm==4.67.1[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • tqdm==4.67.1[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • tqdm==4.67.1[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • tqdm==4.67.1[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • tqdm==4.67.1[linear-regressor]
    extra == "linear-regressor"
  • tqdm==4.67.1[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • tqdm==4.67.1[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • tqdm==4.67.1[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • tqdm==4.67.1[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • tqdm==4.67.1[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • tqdm==4.67.1[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • tqdm==4.67.1[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • tqdm==4.67.1[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • tqdm==4.67.1[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • tqdm==4.67.1[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • tqdm==4.67.1[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • tqdm==4.67.1[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • tqdm==4.67.1[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • tqdm==4.67.1[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • tqdm==4.67.1[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • tqdm==4.67.1[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • tqdm==4.67.1[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • tqdm==4.67.1[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • tqdm==4.67.1[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • tqdm==4.67.1[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • tqdm==4.67.1[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • tqdm==4.67.1[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • tqdm==4.67.1[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • tqdm==4.67.1[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • tqdm==4.67.1[perceptron-classifier]
    extra == "perceptron-classifier"
  • tqdm==4.67.1[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • tqdm==4.67.1[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • tqdm==4.67.1[random-forest-classifier]
    extra == "random-forest-classifier"
  • tqdm==4.67.1[random-forest-regressor]
    extra == "random-forest-regressor"
  • tqdm==4.67.1[ridge-regressor]
    extra == "ridge-regressor"
  • tqdm==4.67.1[saga-classifier]
    extra == "saga-classifier"
  • tqdm==4.67.1[sdca-classifier]
    extra == "sdca-classifier"
  • tqdm==4.67.1[sgd-classifier]
    extra == "sgd-classifier"
  • tqdm==4.67.1[sgd-regressor]
    extra == "sgd-regressor"
  • tqdm==4.67.1[stacking-classifier]
    extra == "stacking-classifier"
  • tqdm==4.67.1[stacking-regressor]
    extra == "stacking-regressor"
  • tqdm==4.67.1[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • tqdm==4.67.1[svm-classifier]
    extra == "svm-classifier"
  • tqdm==4.67.1[svr-regressor]
    extra == "svr-regressor"
  • tqdm==4.67.1[svrg-classifier]
    extra == "svrg-classifier"
  • tqdm==4.67.1[tqdm]
    extra == "tqdm"
  • tqdm==4.67.1[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • tqdm==4.67.1[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • tqdm==4.67.1[xgboost-classifier]
    extra == "xgboost-classifier"
  • tqdm==4.67.1[xgboost-regressor]
    extra == "xgboost-regressor"
  • transformers==4.51.3[all]
    extra == "all"
  • transformers==4.51.3[external-runtime]
    extra == "external-runtime"
  • transformers==4.51.3[full-runtime]
    extra == "full-runtime"
  • transformers==4.51.3[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • transformers==4.51.3[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • transformers==4.51.3[transformers]
    extra == "transformers"
  • transformers==4.51.3[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • triad==0.9.8[all]
    extra == "all"
  • triad==0.9.8[external-runtime]
    extra == "external-runtime"
  • triad==0.9.8[full-runtime]
    extra == "full-runtime"
  • triad==0.9.8[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • triad==0.9.8[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • triad==0.9.8[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • triad==0.9.8[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • triad==0.9.8[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • triad==0.9.8[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • triad==0.9.8[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • triad==0.9.8[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • triad==0.9.8[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • triad==0.9.8[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • triad==0.9.8[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • triad==0.9.8[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • triad==0.9.8[triad]
    extra == "triad"
  • triad==0.9.8[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • triton==3.1.0[all]
    extra == "all"
  • triton==3.1.0[external-runtime]
    extra == "external-runtime"
  • triton==3.1.0[full-runtime]
    extra == "full-runtime"
  • triton==3.1.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • triton==3.1.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • triton==3.1.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • triton==3.1.0[triton]
    extra == "triton"
  • triton==3.1.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • turintech-evoml-api-models==3.2.0[external-runtime]
    extra == "external-runtime"
  • turintech-evoml-api-models==3.2.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • turintech-evoml-api-models==3.2.0[full-runtime]
    extra == "full-runtime"
  • turintech-evoml-api-models==3.2.0[turintech-evoml-api-models]
    extra == "turintech-evoml-api-models"
  • turintech-evoml-metaml==3.2.2[adagrad-classifier]
    extra == "adagrad-classifier"
  • turintech-evoml-metaml==3.2.2[all]
    extra == "all"
  • turintech-evoml-metaml==3.2.2[ard-regressor]
    extra == "ard-regressor"
  • turintech-evoml-metaml==3.2.2[arima-forecaster]
    extra == "arima-forecaster"
  • turintech-evoml-metaml==3.2.2[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • turintech-evoml-metaml==3.2.2[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • turintech-evoml-metaml==3.2.2[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • turintech-evoml-metaml==3.2.2[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • turintech-evoml-metaml==3.2.2[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • turintech-evoml-metaml==3.2.2[catboost-classifier]
    extra == "catboost-classifier"
  • turintech-evoml-metaml==3.2.2[catboost-regressor]
    extra == "catboost-regressor"
  • turintech-evoml-metaml==3.2.2[cd-classifier]
    extra == "cd-classifier"
  • turintech-evoml-metaml==3.2.2[cd-regressor]
    extra == "cd-regressor"
  • turintech-evoml-metaml==3.2.2[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • turintech-evoml-metaml==3.2.2[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • turintech-evoml-metaml==3.2.2[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • turintech-evoml-metaml==3.2.2[external-runtime]
    extra == "external-runtime"
  • turintech-evoml-metaml==3.2.2[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • turintech-evoml-metaml==3.2.2[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • turintech-evoml-metaml==3.2.2[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • turintech-evoml-metaml==3.2.2[fista-classifier]
    extra == "fista-classifier"
  • turintech-evoml-metaml==3.2.2[fista-regressor]
    extra == "fista-regressor"
  • turintech-evoml-metaml==3.2.2[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • turintech-evoml-metaml==3.2.2[full-runtime]
    extra == "full-runtime"
  • turintech-evoml-metaml==3.2.2[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • turintech-evoml-metaml==3.2.2[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • turintech-evoml-metaml==3.2.2[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • turintech-evoml-metaml==3.2.2[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • turintech-evoml-metaml==3.2.2[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • turintech-evoml-metaml==3.2.2[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • turintech-evoml-metaml==3.2.2[huber-regressor]
    extra == "huber-regressor"
  • turintech-evoml-metaml==3.2.2[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • turintech-evoml-metaml==3.2.2[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • turintech-evoml-metaml==3.2.2[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • turintech-evoml-metaml==3.2.2[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • turintech-evoml-metaml==3.2.2[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • turintech-evoml-metaml==3.2.2[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • turintech-evoml-metaml==3.2.2[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • turintech-evoml-metaml==3.2.2[lasso-regressor]
    extra == "lasso-regressor"
  • turintech-evoml-metaml==3.2.2[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • turintech-evoml-metaml==3.2.2[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • turintech-evoml-metaml==3.2.2[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • turintech-evoml-metaml==3.2.2[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • turintech-evoml-metaml==3.2.2[linear-regressor]
    extra == "linear-regressor"
  • turintech-evoml-metaml==3.2.2[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • turintech-evoml-metaml==3.2.2[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • turintech-evoml-metaml==3.2.2[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • turintech-evoml-metaml==3.2.2[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • turintech-evoml-metaml==3.2.2[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • turintech-evoml-metaml==3.2.2[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • turintech-evoml-metaml==3.2.2[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • turintech-evoml-metaml==3.2.2[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • turintech-evoml-metaml==3.2.2[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • turintech-evoml-metaml==3.2.2[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • turintech-evoml-metaml==3.2.2[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • turintech-evoml-metaml==3.2.2[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • turintech-evoml-metaml==3.2.2[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • turintech-evoml-metaml==3.2.2[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • turintech-evoml-metaml==3.2.2[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • turintech-evoml-metaml==3.2.2[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • turintech-evoml-metaml==3.2.2[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • turintech-evoml-metaml==3.2.2[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • turintech-evoml-metaml==3.2.2[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • turintech-evoml-metaml==3.2.2[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • turintech-evoml-metaml==3.2.2[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • turintech-evoml-metaml==3.2.2[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • turintech-evoml-metaml==3.2.2[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • turintech-evoml-metaml==3.2.2[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • turintech-evoml-metaml==3.2.2[perceptron-classifier]
    extra == "perceptron-classifier"
  • turintech-evoml-metaml==3.2.2[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • turintech-evoml-metaml==3.2.2[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • turintech-evoml-metaml==3.2.2[random-forest-classifier]
    extra == "random-forest-classifier"
  • turintech-evoml-metaml==3.2.2[random-forest-regressor]
    extra == "random-forest-regressor"
  • turintech-evoml-metaml==3.2.2[ridge-regressor]
    extra == "ridge-regressor"
  • turintech-evoml-metaml==3.2.2[saga-classifier]
    extra == "saga-classifier"
  • turintech-evoml-metaml==3.2.2[sdca-classifier]
    extra == "sdca-classifier"
  • turintech-evoml-metaml==3.2.2[sgd-classifier]
    extra == "sgd-classifier"
  • turintech-evoml-metaml==3.2.2[sgd-regressor]
    extra == "sgd-regressor"
  • turintech-evoml-metaml==3.2.2[stacking-classifier]
    extra == "stacking-classifier"
  • turintech-evoml-metaml==3.2.2[stacking-regressor]
    extra == "stacking-regressor"
  • turintech-evoml-metaml==3.2.2[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • turintech-evoml-metaml==3.2.2[svm-classifier]
    extra == "svm-classifier"
  • turintech-evoml-metaml==3.2.2[svr-regressor]
    extra == "svr-regressor"
  • turintech-evoml-metaml==3.2.2[svrg-classifier]
    extra == "svrg-classifier"
  • turintech-evoml-metaml==3.2.2[turintech-evoml-metaml]
    extra == "turintech-evoml-metaml"
  • turintech-evoml-metaml==3.2.2[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • turintech-evoml-metaml==3.2.2[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • turintech-evoml-metaml==3.2.2[xgboost-classifier]
    extra == "xgboost-classifier"
  • turintech-evoml-metaml==3.2.2[xgboost-regressor]
    extra == "xgboost-regressor"
  • turintech-evoml-pipeline-interface==2.4.0[external-runtime]
    extra == "external-runtime"
  • turintech-evoml-pipeline-interface==2.4.0[full-runtime]
    extra == "full-runtime"
  • turintech-evoml-pipeline-interface==2.4.0[turintech-evoml-pipeline-interface]
    extra == "turintech-evoml-pipeline-interface"
  • turintech-evoml-preprocessor==5.1.1[external-runtime]
    extra == "external-runtime"
  • turintech-evoml-preprocessor==5.1.1[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • turintech-evoml-preprocessor==5.1.1[full-runtime]
    extra == "full-runtime"
  • turintech-evoml-preprocessor==5.1.1[turintech-evoml-preprocessor]
    extra == "turintech-evoml-preprocessor"
  • turintech-evoml-preprocessor-internal==5.1.1[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • turintech-evoml-preprocessor-internal==5.1.1[full-runtime]
    extra == "full-runtime"
  • turintech-evoml-preprocessor-internal==5.1.1[turintech-evoml-preprocessor-internal]
    extra == "turintech-evoml-preprocessor-internal"
  • turintech-evoml-utils==2.0.3[external-runtime]
    extra == "external-runtime"
  • turintech-evoml-utils==2.0.3[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • turintech-evoml-utils==2.0.3[full-runtime]
    extra == "full-runtime"
  • turintech-evoml-utils==2.0.3[turintech-evoml-utils]
    extra == "turintech-evoml-utils"
  • typing-extensions==4.13.2[adagrad-classifier]
    extra == "adagrad-classifier"
  • typing-extensions==4.13.2[all]
    extra == "all"
  • typing-extensions==4.13.2[ard-regressor]
    extra == "ard-regressor"
  • typing-extensions==4.13.2[arima-forecaster]
    extra == "arima-forecaster"
  • typing-extensions==4.13.2[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • typing-extensions==4.13.2[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • typing-extensions==4.13.2[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • typing-extensions==4.13.2[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • typing-extensions==4.13.2[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • typing-extensions==4.13.2[catboost-classifier]
    extra == "catboost-classifier"
  • typing-extensions==4.13.2[catboost-regressor]
    extra == "catboost-regressor"
  • typing-extensions==4.13.2[cd-classifier]
    extra == "cd-classifier"
  • typing-extensions==4.13.2[cd-regressor]
    extra == "cd-regressor"
  • typing-extensions==4.13.2[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • typing-extensions==4.13.2[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • typing-extensions==4.13.2[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • typing-extensions==4.13.2[external-runtime]
    extra == "external-runtime"
  • typing-extensions==4.13.2[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • typing-extensions==4.13.2[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • typing-extensions==4.13.2[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • typing-extensions==4.13.2[fista-classifier]
    extra == "fista-classifier"
  • typing-extensions==4.13.2[fista-regressor]
    extra == "fista-regressor"
  • typing-extensions==4.13.2[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • typing-extensions==4.13.2[full-runtime]
    extra == "full-runtime"
  • typing-extensions==4.13.2[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • typing-extensions==4.13.2[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • typing-extensions==4.13.2[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • typing-extensions==4.13.2[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • typing-extensions==4.13.2[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • typing-extensions==4.13.2[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • typing-extensions==4.13.2[huber-regressor]
    extra == "huber-regressor"
  • typing-extensions==4.13.2[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • typing-extensions==4.13.2[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • typing-extensions==4.13.2[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • typing-extensions==4.13.2[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • typing-extensions==4.13.2[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • typing-extensions==4.13.2[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • typing-extensions==4.13.2[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • typing-extensions==4.13.2[lasso-regressor]
    extra == "lasso-regressor"
  • typing-extensions==4.13.2[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • typing-extensions==4.13.2[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • typing-extensions==4.13.2[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • typing-extensions==4.13.2[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • typing-extensions==4.13.2[linear-regressor]
    extra == "linear-regressor"
  • typing-extensions==4.13.2[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • typing-extensions==4.13.2[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • typing-extensions==4.13.2[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • typing-extensions==4.13.2[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • typing-extensions==4.13.2[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • typing-extensions==4.13.2[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • typing-extensions==4.13.2[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • typing-extensions==4.13.2[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • typing-extensions==4.13.2[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • typing-extensions==4.13.2[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • typing-extensions==4.13.2[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • typing-extensions==4.13.2[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • typing-extensions==4.13.2[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • typing-extensions==4.13.2[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • typing-extensions==4.13.2[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • typing-extensions==4.13.2[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • typing-extensions==4.13.2[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • typing-extensions==4.13.2[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • typing-extensions==4.13.2[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • typing-extensions==4.13.2[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • typing-extensions==4.13.2[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • typing-extensions==4.13.2[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • typing-extensions==4.13.2[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • typing-extensions==4.13.2[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • typing-extensions==4.13.2[perceptron-classifier]
    extra == "perceptron-classifier"
  • typing-extensions==4.13.2[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • typing-extensions==4.13.2[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • typing-extensions==4.13.2[random-forest-classifier]
    extra == "random-forest-classifier"
  • typing-extensions==4.13.2[random-forest-regressor]
    extra == "random-forest-regressor"
  • typing-extensions==4.13.2[ridge-regressor]
    extra == "ridge-regressor"
  • typing-extensions==4.13.2[saga-classifier]
    extra == "saga-classifier"
  • typing-extensions==4.13.2[sdca-classifier]
    extra == "sdca-classifier"
  • typing-extensions==4.13.2[sgd-classifier]
    extra == "sgd-classifier"
  • typing-extensions==4.13.2[sgd-regressor]
    extra == "sgd-regressor"
  • typing-extensions==4.13.2[stacking-classifier]
    extra == "stacking-classifier"
  • typing-extensions==4.13.2[stacking-regressor]
    extra == "stacking-regressor"
  • typing-extensions==4.13.2[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • typing-extensions==4.13.2[svm-classifier]
    extra == "svm-classifier"
  • typing-extensions==4.13.2[svr-regressor]
    extra == "svr-regressor"
  • typing-extensions==4.13.2[svrg-classifier]
    extra == "svrg-classifier"
  • typing-extensions==4.13.2[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • typing-extensions==4.13.2[typing-extensions]
    extra == "typing-extensions"
  • typing-extensions==4.13.2[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • typing-extensions==4.13.2[xgboost-classifier]
    extra == "xgboost-classifier"
  • typing-extensions==4.13.2[xgboost-regressor]
    extra == "xgboost-regressor"
  • umap-learn==0.5.7[all]
    extra == "all"
  • umap-learn==0.5.7[external-runtime]
    extra == "external-runtime"
  • umap-learn==0.5.7[full-runtime]
    extra == "full-runtime"
  • umap-learn==0.5.7[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • umap-learn==0.5.7[umap-learn]
    extra == "umap-learn"
  • urllib3==2.4.0[all]
    extra == "all"
  • urllib3==2.4.0[arima-forecaster]
    extra == "arima-forecaster"
  • urllib3==2.4.0[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • urllib3==2.4.0[external-runtime]
    extra == "external-runtime"
  • urllib3==2.4.0[full-runtime]
    extra == "full-runtime"
  • urllib3==2.4.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • urllib3==2.4.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • urllib3==2.4.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • urllib3==2.4.0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • urllib3==2.4.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • urllib3==2.4.0[urllib3]
    extra == "urllib3"
  • utilsforecast==0.2.12[all]
    extra == "all"
  • utilsforecast==0.2.12[external-runtime]
    extra == "external-runtime"
  • utilsforecast==0.2.12[full-runtime]
    extra == "full-runtime"
  • utilsforecast==0.2.12[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • utilsforecast==0.2.12[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • utilsforecast==0.2.12[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • utilsforecast==0.2.12[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • utilsforecast==0.2.12[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • utilsforecast==0.2.12[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • utilsforecast==0.2.12[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • utilsforecast==0.2.12[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • utilsforecast==0.2.12[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • utilsforecast==0.2.12[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • utilsforecast==0.2.12[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • utilsforecast==0.2.12[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • utilsforecast==0.2.12[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • utilsforecast==0.2.12[utilsforecast]
    extra == "utilsforecast"
  • xarray==2024.3.0[adagrad-classifier]
    extra == "adagrad-classifier"
  • xarray==2024.3.0[all]
    extra == "all"
  • xarray==2024.3.0[ard-regressor]
    extra == "ard-regressor"
  • xarray==2024.3.0[arima-forecaster]
    extra == "arima-forecaster"
  • xarray==2024.3.0[auto-arima-forecaster]
    extra == "auto-arima-forecaster"
  • xarray==2024.3.0[auto-ets-forecaster]
    extra == "auto-ets-forecaster"
  • xarray==2024.3.0[base-reduction-stacking-classifier]
    extra == "base-reduction-stacking-classifier"
  • xarray==2024.3.0[base-reduction-stacking-regressor]
    extra == "base-reduction-stacking-regressor"
  • xarray==2024.3.0[bayesian-ridge-regressor]
    extra == "bayesian-ridge-regressor"
  • xarray==2024.3.0[catboost-classifier]
    extra == "catboost-classifier"
  • xarray==2024.3.0[catboost-regressor]
    extra == "catboost-regressor"
  • xarray==2024.3.0[cd-classifier]
    extra == "cd-classifier"
  • xarray==2024.3.0[cd-regressor]
    extra == "cd-regressor"
  • xarray==2024.3.0[decision-tree-classifier]
    extra == "decision-tree-classifier"
  • xarray==2024.3.0[decision-tree-regressor]
    extra == "decision-tree-regressor"
  • xarray==2024.3.0[elastic-net-regressor]
    extra == "elastic-net-regressor"
  • xarray==2024.3.0[external-runtime]
    extra == "external-runtime"
  • xarray==2024.3.0[extra-trees-classifier]
    extra == "extra-trees-classifier"
  • xarray==2024.3.0[feature-reduction-stacking-classifier]
    extra == "feature-reduction-stacking-classifier"
  • xarray==2024.3.0[feature-reduction-stacking-regressor]
    extra == "feature-reduction-stacking-regressor"
  • xarray==2024.3.0[fista-classifier]
    extra == "fista-classifier"
  • xarray==2024.3.0[fista-regressor]
    extra == "fista-regressor"
  • xarray==2024.3.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • xarray==2024.3.0[full-runtime]
    extra == "full-runtime"
  • xarray==2024.3.0[gaussian-naivebayes-classifier]
    extra == "gaussian-naivebayes-classifier"
  • xarray==2024.3.0[gaussian-process-classifier]
    extra == "gaussian-process-classifier"
  • xarray==2024.3.0[gradient-boosting-classifier]
    extra == "gradient-boosting-classifier"
  • xarray==2024.3.0[gradient-boosting-regressor]
    extra == "gradient-boosting-regressor"
  • xarray==2024.3.0[hist-gradient-boosting-classifier]
    extra == "hist-gradient-boosting-classifier"
  • xarray==2024.3.0[hist-gradient-boosting-regressor]
    extra == "hist-gradient-boosting-regressor"
  • xarray==2024.3.0[huber-regressor]
    extra == "huber-regressor"
  • xarray==2024.3.0[intelex-elastic-net-regressor]
    extra == "intelex-elastic-net-regressor"
  • xarray==2024.3.0[intelex-linear-regressor]
    extra == "intelex-linear-regressor"
  • xarray==2024.3.0[intelex-logistic-regression-classifier]
    extra == "intelex-logistic-regression-classifier"
  • xarray==2024.3.0[intelex-random-forest-classifier]
    extra == "intelex-random-forest-classifier"
  • xarray==2024.3.0[intelex-random-forest-regressor]
    extra == "intelex-random-forest-regressor"
  • xarray==2024.3.0[intelex-svm-classifier]
    extra == "intelex-svm-classifier"
  • xarray==2024.3.0[intelex-svr-regressor]
    extra == "intelex-svr-regressor"
  • xarray==2024.3.0[lasso-regressor]
    extra == "lasso-regressor"
  • xarray==2024.3.0[lightgbm-classifier]
    extra == "lightgbm-classifier"
  • xarray==2024.3.0[lightgbm-regressor]
    extra == "lightgbm-regressor"
  • xarray==2024.3.0[linear-discriminant-analysis-classifier]
    extra == "linear-discriminant-analysis-classifier"
  • xarray==2024.3.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • xarray==2024.3.0[linear-regressor]
    extra == "linear-regressor"
  • xarray==2024.3.0[linearsvc-classifier]
    extra == "linearsvc-classifier"
  • xarray==2024.3.0[linearsvr-regressor]
    extra == "linearsvr-regressor"
  • xarray==2024.3.0[logistic-regression-classifier]
    extra == "logistic-regression-classifier"
  • xarray==2024.3.0[mean-dummy-regressor]
    extra == "mean-dummy-regressor"
  • xarray==2024.3.0[median-dummy-regressor]
    extra == "median-dummy-regressor"
  • xarray==2024.3.0[naive-drift-forecaster]
    extra == "naive-drift-forecaster"
  • xarray==2024.3.0[naive-last-forecaster]
    extra == "naive-last-forecaster"
  • xarray==2024.3.0[naive-mean-forecaster]
    extra == "naive-mean-forecaster"
  • xarray==2024.3.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • xarray==2024.3.0[nearest-centroid-classifier]
    extra == "nearest-centroid-classifier"
  • xarray==2024.3.0[nixtla-arima-forecaster]
    extra == "nixtla-arima-forecaster"
  • xarray==2024.3.0[nixtla-auto-arima-forecaster]
    extra == "nixtla-auto-arima-forecaster"
  • xarray==2024.3.0[nixtla-auto-ces-forecaster]
    extra == "nixtla-auto-ces-forecaster"
  • xarray==2024.3.0[nixtla-auto-ets-forecaster]
    extra == "nixtla-auto-ets-forecaster"
  • xarray==2024.3.0[nixtla-auto-theta-forecaster]
    extra == "nixtla-auto-theta-forecaster"
  • xarray==2024.3.0[nixtla-garch-forecaster]
    extra == "nixtla-garch-forecaster"
  • xarray==2024.3.0[nixtla-historic-average-forecaster]
    extra == "nixtla-historic-average-forecaster"
  • xarray==2024.3.0[nixtla-random-walk-with-drift-forecaster]
    extra == "nixtla-random-walk-with-drift-forecaster"
  • xarray==2024.3.0[nixtla-seasonal-naive-forecaster]
    extra == "nixtla-seasonal-naive-forecaster"
  • xarray==2024.3.0[nixtla-seasonal-window-average-forecaster]
    extra == "nixtla-seasonal-window-average-forecaster"
  • xarray==2024.3.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • xarray==2024.3.0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • xarray==2024.3.0[passive-aggressive-classifier]
    extra == "passive-aggressive-classifier"
  • xarray==2024.3.0[passive-aggressive-regressor]
    extra == "passive-aggressive-regressor"
  • xarray==2024.3.0[perceptron-classifier]
    extra == "perceptron-classifier"
  • xarray==2024.3.0[prior-dummy-classifier]
    extra == "prior-dummy-classifier"
  • xarray==2024.3.0[quadratic-discriminant-analysis-classifier]
    extra == "quadratic-discriminant-analysis-classifier"
  • xarray==2024.3.0[random-forest-classifier]
    extra == "random-forest-classifier"
  • xarray==2024.3.0[random-forest-regressor]
    extra == "random-forest-regressor"
  • xarray==2024.3.0[ridge-regressor]
    extra == "ridge-regressor"
  • xarray==2024.3.0[saga-classifier]
    extra == "saga-classifier"
  • xarray==2024.3.0[sdca-classifier]
    extra == "sdca-classifier"
  • xarray==2024.3.0[sgd-classifier]
    extra == "sgd-classifier"
  • xarray==2024.3.0[sgd-regressor]
    extra == "sgd-regressor"
  • xarray==2024.3.0[stacking-classifier]
    extra == "stacking-classifier"
  • xarray==2024.3.0[stacking-regressor]
    extra == "stacking-regressor"
  • xarray==2024.3.0[stratified-dummy-classifier]
    extra == "stratified-dummy-classifier"
  • xarray==2024.3.0[svm-classifier]
    extra == "svm-classifier"
  • xarray==2024.3.0[svr-regressor]
    extra == "svr-regressor"
  • xarray==2024.3.0[svrg-classifier]
    extra == "svrg-classifier"
  • xarray==2024.3.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • xarray==2024.3.0[uniform-dummy-classifier]
    extra == "uniform-dummy-classifier"
  • xarray==2024.3.0[xarray]
    extra == "xarray"
  • xarray==2024.3.0[xgboost-classifier]
    extra == "xgboost-classifier"
  • xarray==2024.3.0[xgboost-regressor]
    extra == "xgboost-regressor"
  • xgboost==2.0.3[all]
    extra == "all"
  • xgboost==2.0.3[external-runtime]
    extra == "external-runtime"
  • xgboost==2.0.3[full-runtime]
    extra == "full-runtime"
  • xgboost==2.0.3[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • xgboost==2.0.3[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • xgboost==2.0.3[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • xgboost==2.0.3[xgboost]
    extra == "xgboost"
  • xgboost==2.0.3[xgboost-classifier]
    extra == "xgboost-classifier"
  • xgboost==2.0.3[xgboost-regressor]
    extra == "xgboost-regressor"
  • xxhash==3.5.0[all]
    extra == "all"
  • xxhash==3.5.0[external-runtime]
    extra == "external-runtime"
  • xxhash==3.5.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • xxhash==3.5.0[full-runtime]
    extra == "full-runtime"
  • xxhash==3.5.0[nlp-sequence-classifier]
    extra == "nlp-sequence-classifier"
  • xxhash==3.5.0[nlp-sequence-regressor]
    extra == "nlp-sequence-regressor"
  • xxhash==3.5.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • xxhash==3.5.0[xxhash]
    extra == "xxhash"
  • yarl==1.20.0[yarl]
    extra == "yarl"
  • zipp==3.21.0[all]
    extra == "all"
  • zipp==3.21.0[catboost-classifier]
    extra == "catboost-classifier"
  • zipp==3.21.0[catboost-regressor]
    extra == "catboost-regressor"
  • zipp==3.21.0[external-runtime]
    extra == "external-runtime"
  • zipp==3.21.0[full-preprocessor-internal]
    extra == "full-preprocessor-internal"
  • zipp==3.21.0[full-runtime]
    extra == "full-runtime"
  • zipp==3.21.0[linear-regression-forecaster]
    extra == "linear-regression-forecaster"
  • zipp==3.21.0[nbeats-forecaster]
    extra == "nbeats-forecaster"
  • zipp==3.21.0[turintech-evoml-metaml-all]
    extra == "turintech-evoml-metaml-all"
  • zipp==3.21.0[zipp]
    extra == "zipp"

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Not used by any tracked packages

Repository details

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Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
machine learning
Sources and methodology