(self, pipeline_name=None, astype="lale")
return result.export_to_sklearn_pipeline()
Retrieve one of the trials.
        Parameters
        ----------
        pipeline_name : union type, default None
            - string
                Key for table returned by summary(), return a trainable pipeline.
            - None
                When not specified, return the best trained pipeline found.
        astype : 'lale' or 'sklearn', default 'lale'
            Type of resulting pipeline.
        Returns
        -------
        result : Trained operator if best, trainable operator otherwise.
Retrieve one of the trials.
        Parameters
        ----------
        pipeline_name : union type, default None
            - string
                Key for table returned by summary(), return a trainable pipeline.
            - None
                When not specified, return the best trained pipeline found.
        astype : 'lale' or 'sklearn', default 'lale'
            Type of resulting pipeline.
        Returns
        -------
        result : Trained operator if best, trainable operator otherwise.
Retrieve one of the trials . Parameters ---------- pipeline_name : union type default None - string Key for table returned by summary () return a trainable pipeline . - None When not specified return the best trained pipeline found . astype : lale or sklearn default lale Type of resulting pipeline . Returns ------- result : Trained operator if best trainable operator otherwise .
def get_pipeline(self, pipeline_name=None, astype="lale"):
        """Retrieve one of the trials.
        Parameters
        ----------
        pipeline_name : union type, default None
            - string
                Key for table returned by summary(), return a trainable pipeline.
            - None
                When not specified, return the best trained pipeline found.
        astype : 'lale' or 'sklearn', default 'lale'
            Type of resulting pipeline.
        Returns
        -------
        result : Trained operator if best, trainable operator otherwise."""
        if pipeline_name is None:
            pipeline_name = self._name_of_best
        result = self._pipelines[pipeline_name]
        if result is None or astype == "lale":
            return result
        assert astype == "sklearn", astype
        return result.export_to_sklearn_pipeline()
def get_pipeline ( self , pipeline_name = None , astype = "lale" ) : if pipeline_name is None : pipeline_name = self . _name_of_best result = self . _pipelines [ pipeline_name ] if result is None or astype == "lale" : return result assert astype == "sklearn" , astype return result . export_to_sklearn_pipeline ( )