classifier_pipeline

class deduplipy.classifier_pipeline.ClassifierPipeline(interaction=False)

Bases: sklearn.base.BaseEstimator

fit(X, y)

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)

Predict using fitted instance.

Args:

X: features

Returns:

predictions

predict_proba(X)

Predict probabilities using fitted instance.

Args:

X: features

Returns:

predicted probabilities