A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
OTHER License
Feature engineering package with sklearn like functionality
Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
Toolkit to forge scikit-learn compatible estimators
Helpful tools for building feature extraction pipelines with scikit-learn
Python package for feature ranking
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Colla...
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feat...
python package to simplify data modeling built on top of sklearn
An open source python library for automated feature engineering
Natural Intelligence is still a pretty good idea.
Introducing AdaptiveBridge: Revolutionizing ML adaptive modelling for handling missing features. ...
Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automa...
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Helper functions for all stages of the machine learning cycle.
scikit-learn: machine learning in Python