evalml.pipelines.MulticlassClassificationPipeline.__init__

MulticlassClassificationPipeline.__init__(parameters, random_state=0)

Machine learning classification pipeline made out of transformers and a classifier.

Required Class Variables:

component_graph (list): List of components in order. Accepts strings or ComponentBase subclasses in the list

Parameters

• parameters (dict) – dictionary with component names as keys and dictionary of that component’s parameters as values. An empty dictionary {} implies using all default values for component parameters.

• random_state (int, np.random.RandomState) – The random seed/state. Defaults to 0.

evalml.pipelines.MulticlassClassificationPipeline evalml.pipelines.MulticlassClassificationPipeline.clone