Method predict

python_package/brainflow/ml_model.py:274–287

calculate metric from data :param data: input array :type data: NDArray[Shape["*"], Float64] :return: metric value :rtype: List

(self, data)

            raise BrainFlowError('unable to release classifier', res)

    def predict(self, data) -> List:
        """calculate metric from data

        :param data: input array
        :type data: NDArray[Shape["*"], Float64]
        :return: metric value
        :rtype: List
        """
        output = numpy.zeros(self.model_params.max_array_size).astype(numpy.float64)
        output_len = numpy.zeros(1).astype(numpy.int32)
        res = MLModuleDLL.get_instance().predict(data, data.shape[0], output, output_len, self.serialized_params)
        if res != BrainFlowExitCodes.STATUS_OK.value:
            raise BrainFlowError('unable to calc metric', res)
        return output[0:output_len[0]]