Tutorials

Learn InsideForest step by step with guided notebooks and examples.

• Classification: build interpretable clusters for labeled classes.
• Regression: summarize continuous targets with rule-based regions.
• Pipelines: integrate InsideForest into scikit-learn workflows.
• Persistence: save, reload, and audit trained models.
• Full pipeline outputs: document DataFrames, metadata, experiments, and hypotheses.

Download the notebooks from the repository tutorials/ directory and run them after completing the installation guide.