Feature Importance

Feature importance analysis module for ML-based feature importance evaluation.

This module provides functionality to analyze feature importance using various machine learning algorithms. It works with comparisons created by the ComparisonManager to identify which features are most important for distinguishing between different data groups.

Main Components:

• FeatureImportanceData: Entity storing feature importance results

• FeatureImportanceManager: Manager for running importance analyses

• analyzer_types: Various ML algorithms for importance analysis

• Feature Importance Analyzer Types
  • Decision Tree
  • Interfaces
• Feature Importance Entities
• Feature Importance Helper
  • Analysis Runner Helper
  • Validation Helper
  • Metadata Builder Helper
  • Representative Finder Helper
  • Top Features Helper
• Feature Importance Manager
• Feature Importance Add Service