Complete documentation for every TuiML module, class, and function — generated straight from the source tree, so it can never drift from the real code.
MCP server, LLM tool registry, and agent prompts.
Native ML algorithms across 13 families.
Package documentation.
Classifier/Regressor base classes and decorators.
Optional CapyMOA streaming wrappers.
The tuiml command-line interface.
Loaders, generators, and builtin datasets.
Metrics, splitting, and cross-validation.
Package documentation.
Feature selection, extraction, and generation.
Package documentation.
Scalers, encoders, and transforms.
Model serving and deployment.
Optional scikit-learn wrappers.
Package documentation.
Shared helpers.
Package documentation.