(self, X, y=None)
| 38 | self.K = None |
| 39 | |
| 40 | def fit(self, X, y=None): |
| 41 | self._setup_input(X, y) |
| 42 | self.K = np.zeros((self.n_samples, self.n_samples)) |
| 43 | for i in range(self.n_samples): |
| 44 | self.K[:, i] = self.kernel(self.X, self.X[i, :]) |
| 45 | self.alpha = np.zeros(self.n_samples) |
| 46 | self.sv_idx = np.arange(0, self.n_samples) |
| 47 | return self._train() |
| 48 | |
| 49 | def _train(self): |
| 50 | iters = 0 |