Expand description
Feature engineering utilities for creating and transforming features
This module provides various methods for generating new features from existing data, including polynomial features, statistical features, and binned features. These transformations can help improve machine learning model performance by creating more informative representations of the data.
Enums§
- Binning
Strategy - Binning strategies for discretization
Functions§
- create_
binned_ features - Creates binned (discretized) features from continuous features
- polynomial_
features - Generates polynomial features up to a specified degree
- statistical_
features - Extracts statistical features from the data