saealib.KFoldAccuracyEvaluator

class saealib.KFoldAccuracyEvaluator(metrics=None, n_splits=5)

ベースクラス: AccuracyEvaluator

Evaluates surrogate accuracy via k-fold cross-validation.

The training data is split into n_splits folds. For each fold, the surrogate is deep-copied and fitted on the remaining folds, then tested on the held-out fold. Metrics are averaged across folds.

パラメータ:

• metrics (list[SurrogateAccuracyMetric] or None) -- Metrics to compute.

• n_splits (int) -- Number of folds. Clamped to n_samples if larger.

Methods

__init__
evaluate	Evaluate via k-fold CV.

Method Details

KFoldAccuracyEvaluator.__init__(metrics=None, n_splits=5)

パラメータ:

• metrics (list[SurrogateAccuracyMetric] | None)

• n_splits (int)

KFoldAccuracyEvaluator.evaluate(surrogate, train_x, train_y)

Evaluate via k-fold CV.

パラメータ:

• surrogate (Surrogate)

• train_x (np.ndarray)

• train_y (np.ndarray)

戻り値の型:

SurrogateAccuracy