Method prepare

python_package/brainflow/ml_model.py:260–265

prepare classifier

(self)

        return string.tobytes().decode('utf-8')[0:string_len[0]]

    def prepare(self) -> None:
        """prepare classifier"""

        res = MLModuleDLL.get_instance().prepare(self.serialized_params)
        if res != BrainFlowExitCodes.STATUS_OK.value:
            raise BrainFlowError('unable to prepare classifier', res)

    def release(self) -> None:
        """release classifier"""