| /external/tensorflow/tensorflow/contrib/learn/python/learn/learn_io/ |
| data_feeder.py | 302 random_state=None,
319 random_state: Numpy `RandomState` object to reproduce sampling.
382 self.random_state = np.random.RandomState(
383 42) if random_state is None else random_state
394 self.indices = self.random_state.permutation(num_samples)
547 self.indices = self.random_state.permutation(
810 random_state=None,
821 random_state: random state for RNG. Note that it will mutate so use a
873 if random_state is None
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| _sklearn.py | 174 random_state = options.pop('random_state', None)
182 np.random.seed(random_state)
|
| estimators_test.py | 172 iris.data, iris.target, test_size=0.2, random_state=42)
|
| kmeans_test.py | 555 random_state=i * 42)
|
| /external/tensorflow/tensorflow/examples/get_started/regression/ |
| imports85.py | 197 x_train = data.sample(frac=train_fraction, random_state=seed)
|
| /external/tensorflow/tensorflow/examples/learn/ |
| 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)
|
| /external/harfbuzz_ng/src/ |
| hb-ot-layout-gsubgpos.hh | 477 uint32_t random_state; member in struct:OT::hb_ot_apply_context_t
499 random_state (1) { init_iters (); }
518 random_state = random_state * 48271 % 2147483647;
519 return random_state;
[all...] |
| /external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
| kmeans_test.py | 586 random_state=i * 42)
|
