What is evoFE? | How it works | Installation | Quick Start — Binary Classification | Applying the recipe to new data | Regression | Multiclass Classification | Transformer Reference | Arithmetic (numeric → numeric) | Group-by aggregations (mixed → numeric) | Encoding & binning | Dimensionality reduction (numeric → numeric) | Manifold & Graph Learning (numeric → categorical/numeric) | Hierarchical Features (Gene Chaining) | Custom Transformer Registration | Understanding the Output | Inspecting the recipe | Evaluation Strategies | Alternative and Custom Metrics | Tuning Parameters | Key parameters for evolve_features() | Practical advice | Reproducibility | End-to-End Example: Train/Test Split | Session Info

What is evoFE? | How it works | Installation | Quick Start — Binary Classification | Applying the recipe to new data | Regression | Multiclass Classification | Transformer Reference | Arithmetic (numeric → numeric) | Group-by aggregations (mixed → numeric) | Encoding & binning | Dimensionality reduction (numeric → numeric) | Manifold & Graph Learning (numeric → categorical/numeric) | Hierarchical Features (Gene Chaining) | Understanding the Output | Inspecting the recipe | Evaluation Strategies | Tuning Parameters | Key parameters for evolve_features() | Practical advice | Reproducibility | End-to-End Example: Train/Test Split | Session Info