def set_fit_request(self, **kwargs):
        """Set requested parameters by the fit method.

        Please see [scikit-learn's metadata routing](
        https://scikit-learn.org/stable/metadata_routing.html) for more
        details.


        Arguments:
            kwargs : dict
                Arguments should be of the form `param_name=alias`, and `alias`
                can be one of `{True, False, None, str}`.

        Returns:
            self
        """
        if not _routing_enabled():
            raise RuntimeError(
                "This method is only available when metadata routing is "
                "enabled. You can enable it using "
                "sklearn.set_config(enable_metadata_routing=True)."
            )

        self._metadata_request = sklearn.utils.metadata_routing.MetadataRequest(
            owner=self.__class__.__name__
        )
        for param, alias in kwargs.items():
            self._metadata_request.score.add_request(param=param, alias=alias)
        return self
Set requested parameters by the fit method.

        Please see [scikit-learn's metadata routing](
        https://scikit-learn.org/stable/metadata_routing.html) for more
        details.


        Arguments:
            kwargs : dict
                Arguments should be of the form `param_name=alias`, and `alias`
                can be one of `{True, False, None, str}`.

        Returns:
            self
        
keras/src/wrappers/sklearn_wrapper.py