(
self, model, x=None, y=None, batch_size=None, verbose=1,
sample_weight=None, steps=None, callbacks=None, max_queue_size=10,
workers=1, use_multiprocessing=False, **kwargs)
| 459 | return result |
| 460 | |
| 461 | def evaluate( |
| 462 | self, model, x=None, y=None, batch_size=None, verbose=1, |
| 463 | sample_weight=None, steps=None, callbacks=None, max_queue_size=10, |
| 464 | workers=1, use_multiprocessing=False, **kwargs): |
| 465 | return self._model_iteration( |
| 466 | model, ModeKeys.TEST, x=x, y=y, batch_size=batch_size, verbose=verbose, |
| 467 | sample_weight=sample_weight, steps=steps, callbacks=callbacks, |
| 468 | max_queue_size=max_queue_size, workers=workers, |
| 469 | use_multiprocessing=use_multiprocessing, **kwargs) |
| 470 | |
| 471 | def predict(self, model, x, batch_size=None, verbose=0, steps=None, |
| 472 | callbacks=None, max_queue_size=10, workers=1, |
nothing calls this directly
no test coverage detected