h2o-py/h2o/model/model_base.py
def coef_norm(self):
        """
        Return coefficients fitted on the standardized data (requires standardize = True, which is on by default).

        These coefficients can be used to evaluate variable importance.
        """
        if self._model_json["output"]["model_category"]=="Multinomial":
            tbl = self._model_json["output"]["standardized_coefficient_magnitudes"]
            if tbl is None:
                return None
            return {name: coef for name, coef in zip(tbl["names"], tbl["coefficients"])}
        else:
            tbl = self._model_json["output"]["coefficients_table"]
            if tbl is None:
                return None
            return {name: coef for name, coef in zip(tbl["names"], tbl["standardized_coefficients"])}
def coef_norm(self):
        """
        Return coefficients fitted on the standardized data (requires standardize = True, which is on by default).

        These coefficients can be used to evaluate variable importance.
        """
        if self._model_json["output"]["model_category"]=="Multinomial":
            tbl = self._model_json["output"]["standardized_coefficient_magnitudes"]
            if tbl is None:
                return None
            return {name: coef for name, coef in zip(tbl["names"], tbl["coefficients"])}
        else:
            tbl = self._model_json["output"]["coefficients_table"]
            if tbl is None:
                return None
            return {name: coef for name, coef in zip(tbl["names"], tbl["standardized_coefficients"])}
def coef_norm ( self ) : if self . _model_json [ "output" ] [ "model_category" ] == "Multinomial" : tbl = self . _model_json [ "output" ] [ "standardized_coefficient_magnitudes" ] if tbl is None : return None return { name : coef for name , coef in zip ( tbl [ "names" ] , tbl [ "coefficients" ] ) } else : tbl = self . _model_json [ "output" ] [ "coefficients_table" ] if tbl is None : return None return { name : coef for name , coef in zip ( tbl [ "names" ] , tbl [ "standardized_coefficients" ] ) }
Return coefficients fitted on the standardized data (requires standardize = True, which is on by default).

        These coefficients can be used to evaluate variable importance.
Return coefficients fitted on the standardized data ( requires standardize = True which is on by default ) .