Versions
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
1 month, 1 week 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
Short URLs
feature-engine.readthedocs.io
feature-engine.rtfd.io
Default Version
1.0.x
'latest' Version
1.0.X