Description

Feature Engine is a python library that contains several 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 trasformers include functionality for:

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