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Categorical Features Python Packages

Python packages with the GitHub topic categorical-features. Sorted by relevance, with stars and monthly downloads.
catboost
catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

6.4M 9K 1K
catboost
catboost-dev

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

49K 9K 1K
raynardj
category

Category transformation

5K 3 1
konodyuk
kts

Interactive ML Toolset

3K 17 2
serengil
chefboost

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

2K 486 102
vc1492a
henosis

A Python framework for deploying recommendation models for form fields.

515 10 3
98MM
catclass

A robust framework for generating synthetic categorical datasets for evaluation or testing purposes.

292 0 0
CircArgs
target-statistic-encoding

A lightweight library for encoding categorical features in your dataset with robust k-fold target statistics in training with credibility filtering, and custom statistics.

212 0 0
catboost
catboost-no-sse4

CatBoost Python Package

128 9K 1K
ItsWajdy
cfed

A python package to compute pairwise Euclidean distances on datasets with categorical features in little time

116 1 1
Nikolay-Lysenko
dsawl

A set of tools for machine learning (for the current day, there are active learning utilities and implementations of some stacking-based techniques).

112 2 0
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