from evalml.pipelines import RegressionPipeline [docs]class BaselineRegressionPipeline(RegressionPipeline): """Baseline Pipeline for regression problems.""" _name = "Baseline Regression Pipeline" component_graph = ["Baseline Regressor"] [docs]class MeanBaselineRegressionPipeline(RegressionPipeline): """Baseline Pipeline for regression problems.""" _name = "Mean Baseline Regression Pipeline" component_graph = ["Baseline Regressor"] custom_hyperparameters = {"strategy": ["mean"]}