MiniBatchClassifier

A classifier that can operate on mini-batches.

Methods

learn_many

Update the model with a mini-batch of features X and boolean targets y.

Parameters

• X — 'pd.DataFrame'
• y — 'pd.Series'

learn_one

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

Parameters

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

predict_many

Predict the outcome for each given sample.

Parameters

• X — 'pd.DataFrame'

Returns

pd.Series: The predicted labels.

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_many

Predict the outcome probabilities for each given sample.

Parameters

• X — 'pd.DataFrame'

Returns

pd.DataFrame: A dataframe with probabilities of True and False for each sample.

predict_proba_one

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

Parameters

• x — 'dict'

Returns

dict[base.typing.ClfTarget, float]: A dictionary that associates a probability which each label.