evalml.pipelines.RFClassificationPipeline.__init__

RFClassificationPipeline.__init__(parameters, objective, random_state=0)

Machine learning pipeline made out of transformers and a estimator.

Required Class Variables:

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

supported_problem_types (list): List of problem types for this pipeline. Accepts strings or ProbemType enum in the list.

Parameters

• objective (ObjectiveBase) – the objective to optimize

• 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.