classifier_pipeline

class deduplipy.classifier_pipeline.ClassifierPipeline(interaction: bool = False)

Bases: sklearn.base.BaseEstimator

fit(X: Union[pandas.core.frame.DataFrame, numpy.ndarray], y: Union[pandas.core.frame.DataFrame, numpy.ndarray]) → deduplipy.classifier_pipeline.classifier_pipeline.ClassifierPipeline

Fit the classification pipeline. Does not throw an error when there is only one class in the targets during the first steps in active learning.

Args:

X: features y: target

Returns:

fitted instance

predict(X: Union[pandas.core.frame.DataFrame, numpy.ndarray]) → numpy.ndarray

Predict using fitted instance.

Args:

X: features

Returns:

predictions

predict_proba(X: Union[pandas.core.frame.DataFrame, numpy.ndarray]) → numpy.ndarray

Predict probabilities using fitted instance.

Args:

X: features

Returns:

predicted probabilities