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"])}
Return coefficients fitted on the standardized data (requires standardize = True, which is on by default).

        These coefficients can be used to evaluate variable importance.