(self, pipeline_name=None, astype="lale")
return result.export_to_sklearn_pipeline()
Retrieve one of the trials.

        Parameters
        ----------
        pipeline_name : None

        astype : 'lale' or 'sklearn', default 'lale'
            Type of resulting pipeline.

        Returns
        -------
        result : Trained operator if best, trainable operator otherwise.
Retrieve one of the trials.
Retrieve one of the trials .
def get_pipeline(self, pipeline_name=None, astype="lale"):
        """Retrieve one of the trials.

        Parameters
        ----------
        pipeline_name : None

        astype : 'lale' or 'sklearn', default 'lale'
            Type of resulting pipeline.

        Returns
        -------
        result : Trained operator if best, trainable operator otherwise."""
        assert pipeline_name is None
        result = self._best_estimator
        if result is None or astype == "lale":
            return result
        assert astype == "sklearn", astype
        assert isinstance(result, lale.operators.BasePipeline)
        return result.export_to_sklearn_pipeline()
def get_pipeline ( self , pipeline_name = None , astype = "lale" ) : assert pipeline_name is None result = self . _best_estimator if result is None or astype == "lale" : return result assert astype == "sklearn" , astype assert isinstance ( result , lale . operators . BasePipeline ) return result . export_to_sklearn_pipeline ( )