(
        self,
        _lale_name: str,
        _lale_impl,
        _lale_schemas,
        _lale_frozen_hyperparameters=None,
        **hp,
    )
Create a new IndividualOp.

        Parameters
        ----------
        name : String
            Name of the operator.
        impl :
            An instance of operator implementation class. This is a class that
            contains fit, predict/transform methods implementing an underlying
            algorithm.
        schemas : dict
            This is a dictionary of json schemas for the operator.
Create a new IndividualOp.
Create a new IndividualOp .
def __init__(
        self,
        _lale_name: str,
        _lale_impl,
        _lale_schemas,
        _lale_frozen_hyperparameters=None,
        **hp,
    ) -> None:
        """Create a new IndividualOp.

        Parameters
        ----------
        name : String
            Name of the operator.
        impl :
            An instance of operator implementation class. This is a class that
            contains fit, predict/transform methods implementing an underlying
            algorithm.
        schemas : dict
            This is a dictionary of json schemas for the operator.
        """
        self._name = _lale_name
        self._enum_attributes = None
        if _lale_schemas:
            self._schemas = _lale_schemas
        else:
            self._schemas = lale.type_checking.get_default_schema(_lale_impl)

        # if we are given a class instance, we need to preserve it
        # so that get_params can return the same exact one that we got
        # this is important for scikit-learn's clone to work correctly
        unwrapped = _WithoutGetParams.unwrap(_lale_impl)
        self._impl = unwrapped
        if inspect.isclass(unwrapped):
            self._impl_class_ = _lale_impl
        else:
            self._impl_class_ = unwrapped.__class__

        self._frozen_hyperparams = _lale_frozen_hyperparameters
        self._hyperparams = hp
def __init__ ( self , _lale_name : str , _lale_impl , _lale_schemas , _lale_frozen_hyperparameters = None , * * hp , ) -> None : self . _name = _lale_name self . _enum_attributes = None if _lale_schemas : self . _schemas = _lale_schemas else : self . _schemas = lale . type_checking . get_default_schema ( _lale_impl ) # if we are given a class instance, we need to preserve it # so that get_params can return the same exact one that we got # this is important for scikit-learn's clone to work correctly unwrapped = _WithoutGetParams . unwrap ( _lale_impl ) self . _impl = unwrapped if inspect . isclass ( unwrapped ) : self . _impl_class_ = _lale_impl else : self . _impl_class_ = unwrapped . __class__ self . _frozen_hyperparams = _lale_frozen_hyperparameters self . _hyperparams = hp