| /external/tensorflow/tensorflow/contrib/learn/python/learn/learn_io/ |
| data_feeder.py | 286 random_state=None,
303 random_state: Numpy `RandomState` object to reproduce sampling.
366 self.random_state = np.random.RandomState(
367 42) if random_state is None else random_state
378 self.indices = self.random_state.permutation(num_samples)
531 self.indices = self.random_state.permutation(
785 random_state=None,
796 random_state: random state for RNG. Note that it will mutate so use a
848 if random_state is None
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| _sklearn.py | 172 random_state = options.pop('random_state', None)
180 np.random.seed(random_state)
|
| estimators_test.py | 172 iris.data, iris.target, test_size=0.2, random_state=42)
|
| kmeans_test.py | 556 random_state=i * 42)
|
| /external/tensorflow/tensorflow/examples/learn/ |
| boston.py | 36 x, y, test_size=0.2, random_state=42)
|
| iris_run_config.py | 35 iris.data, iris.target, test_size=0.2, random_state=42)
|
| hdf5_classification.py | 35 iris.data, iris.target, test_size=0.2, random_state=42)
|
| iris_custom_decay_dnn.py | 74 iris.data, iris.target, test_size=0.2, random_state=42)
|
| iris_custom_model.py | 71 iris.data, iris.target, test_size=0.2, random_state=42)
|
| multiple_gpu.py | 90 iris.data, iris.target, test_size=0.2, random_state=42)
|
| /external/tensorflow/tensorflow/examples/get_started/regression/ |
| imports85.py | 196 x_train = data.sample(frac=train_fraction, random_state=seed)
|
| /external/fio/ |
| verify.c | [all...] |
| fio.h | 324 struct frand_state random_state; member in struct:thread_data
|
| io_u.c | 98 r = __rand(&td->random_state);
102 *b = lastb * (r / (rand_max(&td->random_state) + 1.0));
[all...] |
| init.c | 948 init_rand_seed(&td->random_state, td->rand_seeds[FIO_RAND_BLOCK_OFF], use64);
[all...] |
| /external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
| kmeans_test.py | 548 random_state=i * 42)
|
