Expand description
Feature engineering techniques Feature engineering utilities
This module provides tools for feature engineering, which is the process of transforming raw data into features that better represent the underlying problem to predictive models.
Structs§
- Polynomial
Features - Polynomial feature transformation
- Power
Transformer - Optimized PowerTransformer for making data more Gaussian-like
Functions§
- binarize
- Binarizes data (sets feature values to 0 or 1) according to a threshold
- discretize_
equal_ frequency - Discretizes features using equal-frequency bins (quantiles)
- discretize_
equal_ width - Discretizes features using equal-width bins
- log_
transform - Creates log-transformed features
- power_
transform - Applies various power transformations to make data more Gaussian-like