ModelSelectionClassifier

A model selector for classification.

Parameters

• models

  Type → Iterator[base.Estimator]

• metric

  Type → metrics.base.Metric

Attributes

• best_model

  The current best model.

• models

Methods

learn_one

Update the model with a set of features x and a label y.

Parameters

• x — 'dict'
• y — 'base.typing.ClfTarget'

Returns

Classifier: self

predict_one

Predict the label of a set of features x.

Parameters

• x — 'dict'
• kwargs

Returns

base.typing.ClfTarget | None: The predicted label.

predict_proba_one

Predict the probability of each label for a dictionary of features x.

Parameters

• x

Returns

A dictionary that associates a probability which each label.