skeval.base

class skeval.base.BaseEvaluator(model: ~typing.Any, scorer: ~typing.Callable[[...], ~typing.Any] | ~typing.Mapping[str, ~typing.Callable[[...], ~typing.Any]] = <function accuracy_score>, verbose: bool = False)

Bases: object

Base abstract class for all evaluators in scikit-autoeval.

All evaluators should inherit from this class and implement the estimate method.

estimate(x_eval: Any) → Dict[str, Any]

Abstract method to estimate the model’s performance on the given data.

Parameters:

x_eval (array-like of shape (n_samples, n_features)) – Test data.

Returns:

scores – A dictionary containing the evaluation scores.

Return type:

dict

fit(x: Any, y: Any) → BaseEvaluator

Fit the evaluator to the training data.

Parameters:

• x (array-like of shape (n_samples, n_features)) – Training data.

• y (array-like of shape (n_samples,)) – Target labels.

Returns:

self – Returns the instance itself.

Return type:

object