evalml.pipelines.ClassificationPipeline.fit

ClassificationPipeline.fit(X, y)

Build a classification model. For string and categorical targets, classes are sorted

by sorted(set(y)) and then are mapped to values between 0 and n_classes-1.

Parameters

• X (pd.DataFrame or np.array) – the input training data of shape [n_samples, n_features]

• y (pd.Series) – the target training labels of length [n_samples]

Returns

self

evalml.pipelines.ClassificationPipeline.describe evalml.pipelines.ClassificationPipeline.get_component