urbanlc.model.baseline.TMBaseline.train

TMBaseline.train(img_paths: List[str], gt_paths: List[str], enable_cv: Optional[bool] = True, cross_validate_params: Optional[Dict[str, Any]] = None, train_size: Optional[float] = 1.0) → None

Train the model using specified Landsat image and ground truth land cover paths, with optional cross-validation.

Parameters:

• img_paths (List[str]) – List of paths to Landsat image files.

• gt_paths (List[str]) – List of paths to ground truth land cover files.

• enable_cv (Optional[bool]) – Whether to perform cross-validation.

• cross_validate_params (Optional[Dict[str, Any]]) – Parameters for cross-validation.

• train_size (Optional[float]) – Ratio of observation points (pixels) to be used as the training data.

Return type:

None