def __init__()

in sa-dsml-many-models/code/util/timeseries_utilities.py [0:0]


    def __init__(self, transform_steps, estimator, target_column_name, time_column_name):
        assert estimator is not None, "Estimator cannot be None."
        assert transform_steps is None or isinstance(transform_steps, list), \
            "transform_steps should be a list"
        estimator_step = ('estimator', SklearnWrapper(estimator, target_column_name))
        steps = transform_steps + [estimator_step] if transform_steps is not None else [estimator_step]
        self.pipeline = Pipeline(steps=steps)

        self.target_column_name = target_column_name
        self.time_column_name = time_column_name