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Feature Importance Python Packages

Python packages with the GitHub topic feature-importance. Sorted by relevance, with stars and monthly downloads.
pytorch
captum

Model interpretability and understanding for PyTorch

465K 6K 559
mmschlk
shapiq

Shapley Interactions and Shapley Values for Machine Learning

30K 733 60
MasemeneMatlakanaBenny
mini-causal

A Python package for measuring the impact of features

4K 0 0
aerdem4
lofo-importance

Leave One Feature Out Importance

3K 867 83
bhagatsajan0073
dominance-analysis

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

2K 172 60
duxuhao
mlfeatureselection

Features selector based on the self selected-algorithm, loss function and validation method

2K 679 198
abdullah-al-masud
msdlib

msdlib is meant for making life easier of a common data scientist/data analyst/ML enginner.

1K 14 2
amaxiom
robustmodelmaker

A reproducible model-building pipeline for small-to-medium scientific datasets

1K 1 0
broundal
pytolemaic

Package for ML model analysis

1K 10 3
EthicalML
xai

XAI - An industry-ready machine learning library that ensures explainable AI by design

876 1K 185
kingychiu
target-permutation-importances

A Python Package that computes Target Permutation Importances (Null Importances) of a machine learning model.

559 15 1
lhallee
featureranker

Python package for feature ranking

558 7 0
roye10
shapley-lz

Computes the Shapley Lorenz Zonoid share of a set of covariates

508 3 1
csinva
acd

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

473 126 21
DIME-XAI
dime-xai

Implementation of Dual Interpretable Model-agnostic Explanations for Rasa DIET classifiers

449 2 0
statmlben
dnn-inference

Significance tests of feature relevance for a black-box learner

360 20 4
tdlabs-ai
tanml

Automated validation toolkit for tabular ML models in finance and regulated domains.

290 7 0
roye10
lorenz-zonoid

Computes the Shapley Lorenz Zonoid share of covariates

280 3 1
gcskoenig
fippy

Model-agnostic feature importance with python.

99 9 1
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