(y_true, y_pred)
| 21 | |
| 22 | |
| 23 | def jacard_coef(y_true, y_pred): |
| 24 | smooth = K.epsilon() |
| 25 | y_true_f = K.flatten(y_true) |
| 26 | y_pred_f = K.flatten(y_pred) |
| 27 | intersection = K.sum(y_true_f * y_pred_f) |
| 28 | return (intersection + smooth) / ( |
| 29 | K.sum(y_true_f) + K.sum(y_pred_f) - intersection + smooth |
| 30 | ) |
| 31 | |
| 32 | |
| 33 | def jacard_coef_loss(y_true, y_pred): |