nirs4all.controllers.charts.folds module

FoldChartController - Visualizes cross-validation folds with y-value color coding.

class nirs4all.controllers.charts.folds.FoldChartController[source]

Bases: OperatorController

execute(step_info: ParsedStep, dataset: SpectroDataset, context: ExecutionContext, runtime_context: Any, source: int = -1, mode: str = 'train', loaded_binaries: Any = None, prediction_store: Any = None) → Tuple[ExecutionContext, Any][source]

Execute fold visualization showing train/test splits with y-value color coding. Skips execution in prediction mode.

Returns:

Tuple of (context, StepOutput)

classmethod matches(step: Any, operator: Any, keyword: str) → bool[source]

Check if the operator matches the step and keyword.

priority: int = 10
classmethod supports_prediction_mode() → bool[source]

Chart controllers should skip execution during prediction mode.

classmethod use_multi_source() → bool[source]

Check if the operator supports multi-source datasets.