evalml.pipelines.ModeBaselineMulticlassPipeline.__init__

ModeBaselineMulticlassPipeline.__init__(parameters, random_state=None, random_seed=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) – Deprecated - use random_seed instead.

• random_seed (int) – Seed for the random number generator. Defaults to 0.

evalml.pipelines.ModeBaselineMulticlassPipeline evalml.pipelines.ModeBaselineMulticlassPipeline.clone