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Searched refs:validation_split (Results 1 – 22 of 22) sorted by relevance

/external/tensorflow/tensorflow/python/keras/preprocessing/
Ddataset_utils.py166 def get_training_or_validation_split(samples, labels, validation_split, subset): argument
180 if not validation_split:
183 num_val_samples = int(validation_split * len(samples))
219 def check_validation_split_arg(validation_split, subset, shuffle, seed): argument
230 if validation_split and not 0 < validation_split < 1:
233 (validation_split,))
234 if (validation_split or subset) and not (validation_split and subset):
240 if validation_split and shuffle and seed is None:
Dtext_dataset.py37 validation_split=None, argument
138 validation_split, subset, shuffle, seed)
157 file_paths, labels, validation_split, subset)
Dtext_dataset_test.py167 directory, batch_size=10, validation_split=0.2, subset='training',
173 directory, batch_size=10, validation_split=0.2, subset='validation',
237 directory, validation_split=2)
242 directory, validation_split=0.2, subset='other')
246 directory, validation_split=0, subset='training')
250 directory, validation_split=0.2, subset='training')
Dimage_dataset.py44 validation_split=None, argument
188 validation_split, subset, shuffle, seed)
207 image_paths, labels, validation_split, subset)
Dimage_dataset_test.py241 validation_split=0.2, subset='training', seed=1337)
247 validation_split=0.2, subset='validation', seed=1337)
336 directory, validation_split=2)
341 directory, validation_split=0.2, subset='other')
345 directory, validation_split=0, subset='training')
349 directory, validation_split=0.2, subset='training')
Dimage_test.py144 preprocessing_image.ImageDataGenerator(validation_split=5)
286 self, validation_split):
324 validation_split=validation_split)
329 num_validation = int(count * validation_split)
Dimage.py799 validation_split=0.0, argument
830 validation_split=validation_split,
/external/tensorflow/tensorflow/python/keras/engine/
Dtraining_generator_v1.py559 validation_split=0., argument
573 y, sample_weight, validation_split=validation_split)
649 validation_split=0., argument
662 validation_split)
729 validation_split=0., argument
750 validation_split=validation_split,
757 elif validation_split and 0. < validation_split < 1.:
761 x, y, sample_weights, validation_split))
Dtraining_distributed_v1.py585 validation_split=0., argument
606 validation_split=validation_split)
614 validation_split=validation_split,
624 validation_split=validation_split,
641 validation_split=validation_split,
644 elif validation_split:
Dtraining_arrays_v1.py606 validation_split=0., argument
628 validation_split=validation_split,
634 elif validation_split and 0. < validation_split < 1.:
637 x, y, sample_weights, validation_split)
Dtraining_utils_v1.py1235 def validate_dataset_input(x, y, sample_weight, validation_split=None): argument
1266 if validation_split is not None and validation_split != 0.0:
1270 'Received: x=%s, validation_split=%f' % (x, validation_split))
1292 validation_split=None): argument
1302 if validation_split:
1838 def split_training_and_validation_data(x, y, sample_weights, validation_split): argument
1844 split_at = int(x[0].shape[0] * (1. - validation_split))
1846 split_at = int(len(x[0]) * (1. - validation_split))
1927 validation_split=0., argument
Dtraining_v1.py622 validation_split=0., argument
801 validation_split=validation_split,
2108 validation_split=0, argument
2210 validation_split)
2222 validation_split=0, argument
2288 validation_split)
2299 validation_split)
Ddata_adapter_test.py1040 data_adapter.train_validation_split((x, y, sw), validation_split=0.2))
1061 lambda: np.ones((10, 1)), validation_split=0.2)
1066 np.ones((1, 10)), validation_split=0.2)
1070 None, validation_split=0.2)
1075 (np.ones((10, 1)), None), validation_split=0.2)
Ddata_adapter.py1466 def train_validation_split(arrays, validation_split): argument
1503 split_at = int(math.floor(batch_dim * (1. - validation_split)))
1511 batch_dim=batch_dim, validation_split=validation_split))
Dtraining.py889 validation_split=0., argument
1121 if validation_split:
1126 (x, y, sample_weight), validation_split=validation_split))
Dtraining_dataset_test.py124 validation_split=0.5,
Dtraining_test.py344 validation_split=0.2)
691 epochs=1, batch_size=2, validation_split=0.5)
1804 validation_split=0.1)
1890 validation_split=0.1)
/external/tensorflow/tensorflow/python/keras/distribute/
Ddistributed_training_utils_v1.py433 validation_split=0.): argument
438 if validation_split and 0. < validation_split < 1.:
439 num_samples = int(num_samples * (1 - validation_split))
Dkeras_utils_test.py257 validation_split=0.5,
/external/rnnoise/training/
Drnn_train.py115 validation_split=0.1)
/external/tensorflow/tensorflow/lite/python/
Dutil_test.py264 validation_split=0.1,
/external/tensorflow/tensorflow/python/keras/
Dcallbacks_test.py440 model.fit(x, y, batch_size=10, epochs=2, validation_split=0.2)