loki2.mil.models.TCGA-Loki2_MILCell_blca_metastasis_5fold
=========================================================

.. py:module:: loki2.mil.models.TCGA-Loki2_MILCell_blca_metastasis_5fold

.. autoapi-nested-parse::

   5-fold cross-validation script for BLCA metastasis MIL model.

   This script performs 5-fold cross-validation training for a Multiple Instance
   Learning (MIL) model to predict metastasis status from cell embeddings.







Module Contents
---------------

.. py:function:: main(args: argparse.Namespace) -> None

   Main function for 5-fold cross-validation training.

   Performs data preparation, creates balanced folds, trains models for each
   fold, and computes overall cross-validation metrics.

   :param args: Argument namespace containing all hyperparameters and paths:
                - data_path: Path to embedding data parquet file.
                - type_path: Path to label/metadata file.
                - base_output_folder: Base output folder for results.
                - class_type: Class type name (e.g., "Disease_Stage").
                - signature: Signature name (e.g., "Patient_Label").
                - n_folds: Number of folds for cross-validation.
                - seed: Random seed.
                - All other model and training hyperparameters.


.. py:data:: parser