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Searched refs:validation_split (Results 1 – 25 of 37) sorted by relevance

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/external/tensorflow/tensorflow/python/keras/preprocessing/
Ddataset_utils.py169 def get_training_or_validation_split(samples, labels, validation_split, subset): argument
183 if not validation_split:
186 num_val_samples = int(validation_split * len(samples))
221 def check_validation_split_arg(validation_split, subset, shuffle, seed): argument
232 if validation_split and not 0 < validation_split < 1:
235 (validation_split,))
236 if (validation_split or subset) and not (validation_split and subset):
242 if validation_split and shuffle and seed is None:
Dtext_dataset.py38 validation_split=None, argument
139 validation_split, subset, shuffle, seed)
158 file_paths, labels, validation_split, subset)
Dtext_dataset_test.py171 directory, batch_size=10, validation_split=0.2, subset='training',
177 directory, batch_size=10, validation_split=0.2, subset='validation',
241 directory, validation_split=2)
246 directory, validation_split=0.2, subset='other')
250 directory, validation_split=0, subset='training')
254 directory, validation_split=0.2, subset='training')
Dimage_dataset.py45 validation_split=None, argument
182 validation_split, subset, shuffle, seed)
201 image_paths, labels, validation_split, subset)
Dimage_dataset_test.py245 validation_split=0.2, subset='training', seed=1337)
251 validation_split=0.2, subset='validation', seed=1337)
340 directory, validation_split=2)
345 directory, validation_split=0.2, subset='other')
349 directory, validation_split=0, subset='training')
353 directory, validation_split=0.2, subset='training')
Dimage_test.py141 preprocessing_image.ImageDataGenerator(validation_split=5)
283 self, validation_split):
321 validation_split=validation_split)
326 num_validation = int(count * validation_split)
Dimage.py783 validation_split=0.0, argument
814 validation_split=validation_split,
/external/tensorflow/tensorflow/python/keras/engine/
Dtraining_generator_v1.py562 validation_split=0., argument
576 y, sample_weight, validation_split=validation_split)
652 validation_split=0., argument
665 validation_split)
732 validation_split=0., argument
753 validation_split=validation_split,
760 elif validation_split and 0. < validation_split < 1.:
764 x, y, sample_weights, validation_split))
Dtraining_distributed_v1.py590 validation_split=0., argument
611 validation_split=validation_split)
619 validation_split=validation_split,
629 validation_split=validation_split,
646 validation_split=validation_split,
649 elif validation_split:
Dtraining_arrays_v1.py609 validation_split=0., argument
631 validation_split=validation_split,
637 elif validation_split and 0. < validation_split < 1.:
640 x, y, sample_weights, validation_split)
Dtraining_utils_v1.py1232 def validate_dataset_input(x, y, sample_weight, validation_split=None): argument
1263 if validation_split is not None and validation_split != 0.0:
1267 'Received: x=%s, validation_split=%f' % (x, validation_split))
1289 validation_split=None): argument
1299 if validation_split:
1835 def split_training_and_validation_data(x, y, sample_weights, validation_split): argument
1841 split_at = int(x[0].shape[0] * (1. - validation_split))
1843 split_at = int(len(x[0]) * (1. - validation_split))
1924 validation_split=0., argument
Dtraining_v1.py624 validation_split=0., argument
804 validation_split=validation_split,
2100 validation_split=0, argument
2202 validation_split)
2214 validation_split=0, argument
2280 validation_split)
2291 validation_split)
Ddata_adapter_test.py1044 data_adapter.train_validation_split((x, y, sw), validation_split=0.2))
1065 lambda: np.ones((10, 1)), validation_split=0.2)
1070 np.ones((1, 10)), validation_split=0.2)
1074 None, validation_split=0.2)
1079 (np.ones((10, 1)), None), validation_split=0.2)
Ddata_adapter.py1449 def train_validation_split(arrays, validation_split): argument
1488 split_at = int(math.floor(batch_dim * (1. - validation_split)))
1496 batch_dim=batch_dim, validation_split=validation_split))
Dtraining.py876 validation_split=0., argument
1084 if validation_split:
1089 (x, y, sample_weight), validation_split=validation_split))
/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.keras.preprocessing.pbtxt17 …or_mode\', \'batch_size\', \'image_size\', \'shuffle\', \'seed\', \'validation_split\', \'subset\'…
21 …s_names\', \'batch_size\', \'max_length\', \'shuffle\', \'seed\', \'validation_split\', \'subset\'…
Dtensorflow.keras.preprocessing.image.-image-data-generator.pbtxt7 …flip\', \'rescale\', \'preprocessing_function\', \'data_format\', \'validation_split\', \'dtype\']…
Dtensorflow.keras.experimental.-wide-deep-model.pbtxt218 …', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validati…
Dtensorflow.keras.models.-model.pbtxt217 …', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validati…
Dtensorflow.keras.-sequential.pbtxt223 …', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validati…
/external/tensorflow/tensorflow/python/keras/distribute/
Ddistributed_training_utils_v1.py443 validation_split=0.): argument
448 if validation_split and 0. < validation_split < 1.:
449 num_samples = int(num_samples * (1 - validation_split))
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.keras.preprocessing.image.-image-data-generator.pbtxt7 …flip\', \'rescale\', \'preprocessing_function\', \'data_format\', \'validation_split\', \'dtype\']…
Dtensorflow.keras.-sequential.pbtxt223 …', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validati…
/external/rnnoise/training/
Drnn_train.py115 validation_split=0.1)
/external/tensorflow/tensorflow/lite/python/
Dutil_test.py293 validation_split=0.1,

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