nirs4all.controllers.charts.spectral_distribution module

SpectralDistributionController - Spectral envelope visualization for train/test/folds.

class nirs4all.controllers.charts.spectral_distribution.SpectralDistributionController

Bases: OperatorController

Controller for spectral distribution envelope visualization.

Shows envelope (min/max/mean/IQR) for train vs test partitions, with optional per-fold visualization when cross-validation folds exist.

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]

Execute spectral distribution envelope visualization.

Creates envelope plots showing min/max/mean/IQR for train vs test. If CV folds exist, creates a grid showing each fold.

Returns:

Tuple of (context, StepOutput)

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

Check if the operator matches the step and keyword.

priority: int = 10

classmethod supports_prediction_mode() → bool

Chart controllers should skip execution during prediction mode.

classmethod use_multi_source() → bool

Check if the operator supports multi-source datasets.