(self, ydata, ydata_)
| 158 | return None |
| 159 | |
| 160 | def cal_loss(self, ydata, ydata_): |
| 161 | self.loss = np.sum(np.power((ydata - ydata_), 2)) |
| 162 | self.loss_gradient = 2 * (ydata_ - ydata) |
| 163 | # vector (shape is the same as _ydata.shape) |
| 164 | return self.loss, self.loss_gradient |
| 165 | |
| 166 | def plot_loss(self): |
| 167 | if self.ax_loss.lines: |