evalml.pipelines.LinearRegressionPipeline

class evalml.pipelines.LinearRegressionPipeline(objective, number_features, impute_strategy, normalize=False, fit_intercept=True, random_state=0, n_jobs=-1)

Linear Regression 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