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
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
