Integration Tools

Tools for integrating binning methods with machine learning workflows.

Quick Reference

Integration Classes

BinningFeatureSelector

Feature selector that uses binning-based importance measures

BinningPipeline

Specialized pipeline for binning workflows with enhanced functionality

make_binning_scorer

Creates scoring functions that account for binning transformations

Purpose and Usage

The tools module provides:

• Pipeline Integration: Seamless integration with scikit-learn pipelines

• Feature Selection: Binning-aware feature selection methods

• Performance Evaluation: Scoring functions optimized for binned data

• Workflow Utilities: Tools for common binning workflow patterns

These tools make it easier to incorporate binning into complex machine learning workflows and evaluate the impact of different binning strategies on model performance.