evalml.pipelines.RFRegressionPipeline

class evalml.pipelines.RFRegressionPipeline(objective, n_estimators, max_depth, impute_strategy, percent_features, number_features, n_jobs=-1, random_state=0)

Random Forest Pipeline for regression problems

Methods

__init__	Machine learning pipeline made out of transformers and a estimator.
describe	Outputs pipeline details including component parameters
feature_importance_graph	Generate a bar graph of the pipeline’s feature importances
fit	Build a model
get_component	Returns component by name
graph	Generate an image representing the pipeline graph
predict	Make predictions using selected features.
predict_proba	Make probability estimates for labels.
score	Evaluate model performance on current and additional objectives