Feature Selection Python Packages

feature-engine

Feature engineering and selection open-source Python library compatible with sklearn.

powershap

A power-full Shapley feature selection method.

upgini

Intelligent data search & enrichment for Machine Learning

mrmr-selection

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

abess

Fast Best-Subset Selection Library

skrebate

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

divik

Divisive Intelligent K-Means algorithm (DiviK) for joint feature selection and clustering of heavily multidimensional data.

evalml

EvalML is an AutoML library written in python.

arfs

All Relevant Feature Selection

featurewiz

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

nvtabular

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

fastcan

A fast canonical-correlation-based search algorithm for feature selection, system identification, data pruning, etc.

ball

Statistical Inference and Sure Independence Screening via Ball Statistics

sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

kts

Interactive ML Toolset

stg

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

kxy

A Powerful Serverless Pre-Learning and Post-Learning Analysis Toolkit

autofeat

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

desbordante

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

adapt

Awesome Domain Adaptation Python Toolbox

lofo-importance

Leave One Feature Out Importance

dsr-feature-eng-ml

Machine learning model evaluation and feature engineering framework with hyperparameter tuning, data balancing, and feature importance analysis.

boostaroota

A fast xgboost feature selection algorithm