evalml.pipelines.LinearRegressionPipeline.__init__¶
- 
LinearRegressionPipeline.__init__(objective, number_features, impute_strategy, normalize=False, fit_intercept=True, random_state=0, n_jobs=-1)[source]¶
- 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