evalml.pipelines.utils.make_pipeline(X, y, estimator, problem_type)[source]
Given input data, target data, an estimator class and the problem type,

generates a pipeline class with a preprocessing chain which was recommended based on the inputs. The pipeline will be a subclass of the appropriate pipeline base class for the specified problem_type.

  • X (pd.DataFrame) – the input data of shape [n_samples, n_features]

  • y (pd.Series) – the target labels of length [n_samples]

  • estimator (Estimator) – estimator for pipeline

  • problem_type – problem type for pipeline to generate