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Description

Feature Engine is a python library with multiple transformers to engineer features for use in machine learning models.

The transformers work with Scikit-learn like functionality. The first learn the imputing or encoding methods from the training set, and subsequently transform the dataset.

Currently there transformers include functionality for:

  • Missing value imputation
  • Categorical variable encoding
  • Outlier removal
  • Discretisation
  • Numerical Variable Transformation

Repository

https://github.com/solegalli/feature_engine

Project Slug

feature-engine

Last Built

2 weeks, 5 days ago passed

Maintainers

Home Page

https://www.trainindata.com/feature-engine

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Tags

machine-learning, outliers, feature-engineering, missing-data-imputation, categorical-encoding

Project Privacy Level

Public

Short URLs

feature-engine.readthedocs.io
feature-engine.rtfd.io

Default Version

latest

'latest' Version

master