def biases(self, vector_id=0):
        """
        Return the frame for the respective bias vector.

        :param: vector_id: an integer, ranging from 0 to number of layers, that specifies the bias vector to return.

        :returns: an H2OFrame which represents the bias vector identified by vector_id
        """
        num_bias_vectors = len(self._model_json["output"]["biases"])
        if vector_id not in list(range(num_bias_vectors)):
            raise ValueError(
                "Bias vector does not exist. Model has {0} bias vectors (0-based indexing), but vector {1} "
                "was requested.".format(num_bias_vectors, vector_id))
        return h2o.get_frame(self._model_json["output"]["biases"][vector_id]["URL"].split("/")[3])
def biases(self, vector_id=0):
        """
        Return the frame for the respective bias vector.

        :param: vector_id: an integer, ranging from 0 to number of layers, that specifies the bias vector to return.

        :returns: an H2OFrame which represents the bias vector identified by vector_id
        """
        num_bias_vectors = len(self._model_json["output"]["biases"])
        if vector_id not in list(range(num_bias_vectors)):
            raise ValueError(
                "Bias vector does not exist. Model has {0} bias vectors (0-based indexing), but vector {1} "
                "was requested.".format(num_bias_vectors, vector_id))
        return h2o.get_frame(self._model_json["output"]["biases"][vector_id]["URL"].split("/")[3])
def biases ( self , vector_id = 0 ) : num_bias_vectors = len ( self . _model_json [ "output" ] [ "biases" ] ) if vector_id not in list ( range ( num_bias_vectors ) ) : raise ValueError ( "Bias vector does not exist. Model has {0} bias vectors (0-based indexing), but vector {1} " "was requested." . format ( num_bias_vectors , vector_id ) ) return h2o . get_frame ( self . _model_json [ "output" ] [ "biases" ] [ vector_id ] [ "URL" ] . split ( "/" ) [ 3 ] )
Return the frame for the respective bias vector.

        :param: vector_id: an integer, ranging from 0 to number of layers, that specifies the bias vector to return.

        :returns: an H2OFrame which represents the bias vector identified by vector_id
Return the frame for the respective bias vector .