FittedPipeline

FittedPipeline()

Methods

Name	Description
score	Compute model score on test data.
score_expr	Compute metrics using deferred execution.

score

score(X, y, scorer=None, **kwargs)

Compute model score on test data.

Parameters

Name	Type	Description	Default
X	array - like	Test features	required
y	array - like	Test targets	required
scorer	str or callable	Scorer name from sklearn.metrics.get_scorer_names() or a callable metric function. If None, uses model’s default (accuracy for classifiers, r2 for regressors)	None
**kwargs	dict	Additional arguments passed to the scorer function	{}

Returns

Name	Type	Description
	float	The computed score

score_expr

score_expr(expr, scorer=None, **kwargs)

Compute metrics using deferred execution.

Parameters

Name	Type	Description	Default
expr	ibis.Expr	Expression containing test data	required
scorer	str, callable, _BaseScorer, Scorer, or None	Scorer specification. If None, uses model’s default. Automatically detects whether scorer needs predict, predict_proba, or decision_function.	None
**kwargs	dict	Additional arguments passed to the metric function	{}

Returns

Name	Type	Description
	ibis.Expr	Deferred metric expression