evalml.pipelines.XGBoostPipeline

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

XGBoost Pipeline for both binary and multiclass classification

Methods

__init__	Machine learning pipeline made out of transformers and a estimator.
describe	Outputs pipeline details including component parameters
fit	Build a model
get_component	Returns component by name
predict	Make predictions using selected features.
predict_proba	Make probability estimates for labels.
score	Evaluate model performance on current and additional objectives