(self)
return op._impl_instance()
Returns the underlying impl.  This can be used to access additional
        field and methods not exposed by Lale.  If only the type of the
        impl is needed, please use self.impl_class instead, as it can be more efficient.
Returns the underlying impl.  This can be used to access additional
        field and methods not exposed by Lale.  If only the type of the
        impl is needed, please use self.impl_class instead, as it can be more efficient.
Returns the underlying impl . This can be used to access additional field and methods not exposed by Lale . If only the type of the impl is needed please use self . impl_class instead as it can be more efficient .
def shallow_impl(self) -> Any:
        """Returns the underlying impl.  This can be used to access additional
        field and methods not exposed by Lale.  If only the type of the
        impl is needed, please use self.impl_class instead, as it can be more efficient.
        """
        # if fit was called, we want to use trained result
        # even if the code uses the original operrator
        # since sklearn assumes that fit mutates the operator
        op = self
        if hasattr(op, "_trained"):
            tr_op: Any = op._trained
            if tr_op is not None:
                assert isinstance(tr_op, TrainedIndividualOp)
                op = tr_op
        return op._impl_instance()
def shallow_impl ( self ) -> Any : # if fit was called, we want to use trained result # even if the code uses the original operrator # since sklearn assumes that fit mutates the operator op = self if hasattr ( op , "_trained" ) : tr_op : Any = op . _trained if tr_op is not None : assert isinstance ( tr_op , TrainedIndividualOp ) op = tr_op return op . _impl_instance ( )