Method _predict

machine_learning/sequential_minimum_optimization.py:206–217

(self, sample)

    # Predict tag for test sample
    def _predict(self, sample):
        k = self._k
        predicted_value = (
            np.sum(
                [
                    self.alphas[i1] * self.tags[i1] * k(i1, sample)
                    for i1 in self._all_samples
                ]
            )
            + self._b
        )
        return predicted_value

    # Choose alpha1 and alpha2
    def _choose_alphas(self):