lisbet.training#

Train module for LISBET.

lisbet.training.train(experiment_config)[source]#

Train a LISBET model.

This function orchestrates the full training pipeline for LISBET, including data loading, model construction, training, evaluation, and saving artifacts. All parameters match the CLI arguments exactly.

Parameters:: experiment_config (ExperimentConfig) – Configuration object containing all parameters for the training run. It includes data paths, model architecture, training hyperparameters, and task definitions. Must be a Pydantic model.
Returns:: model – The trained LISBET model instance.
Return type:: Module

Notes

All arguments are exposed for CLI and documentation. For advanced usage, see the LISBET documentation.

Modules

`core`	Training and fitting functions for LISBET.
`preprocessing`	Preprocessing functions for model training.
`tasks`	Task configuration module.
`utils`	Utility functions for model training.