User guide

CONTENT STILL HAS TO BE ADDED…

Guides

• Anomalearn’s data model
• Model types: Base and Savable
• Get and read supported datasets
• Create your own model
• Create your model-related components
• Create your pipelines
• Hyperparameter tuning
• Functions for analysing data
• Build your own experiment
• Beyond creation: informative exceptions
• Validating the input to functions
• The utils package: avoid re-inventing the wheel
• Equality of scikit-learn objects: how are they handled?
• Plotting helper functions