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Pipeline (Beta)

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Base Class

pipeline.Pipeline(steps[, overwrite_model])

Creates a Pipeline object, which sequentially applies a list of transforms and a final estimator.

Methods:

Pipeline.drop()	Drops the model from the Vertica database.
Pipeline.fit(input_relation, X[, y, ...])	Trains the model.
Pipeline.get_params()	Returns the model's Parameters.
Pipeline.inverse_transform([vdf, X])	Applies the inverse model transformation on a vDataFrame.
Pipeline.predict([vdf, X, name])	Applies the model on a vDataFrame.
Pipeline.report()	Computes a regression/classification report using multiple metrics to evaluate the model depending on its type.
Pipeline.score([metric])	Computes the model score.
Pipeline.set_params([parameters])	Sets the parameters of the model.
Pipeline.transform([vdf, X])	Applies the model on a vDataFrame.