evalml.pipelines.XGBoostPipeline.__init__

XGBoostPipeline.__init__(objective, eta, min_child_weight, max_depth, impute_strategy, percent_features, number_features, n_estimators=10, n_jobs=-1, random_state=0)

Machine learning pipeline made out of transformers and a estimator.

Parameters

• objective (Object) – the objective to optimize

• component_list (list) – List of components in order

• random_state (int) – random seed/state

• n_jobs (int) – Number of jobs to run in parallel