| /external/tensorflow/tensorflow/tools/dist_test/python/ |
| census_widendeep.py | 63 "education", hash_bucket_size=1000)
65 "marital_status", hash_bucket_size=100)
67 "relationship", hash_bucket_size=100)
69 "workclass", hash_bucket_size=100)
71 "occupation", hash_bucket_size=1000)
73 "native_country", hash_bucket_size=1000)
88 hash_bucket_size=int(1e4)),
90 hash_bucket_size=int(1e4)),
92 hash_bucket_size=int(1e6))]
|
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
| sdca_estimator_test.py | 126 'country', hash_bucket_size=5)
156 'country', hash_bucket_size=5)
187 'language', hash_bucket_size=5)
189 'country', hash_bucket_size=5)
191 [language, country], hash_bucket_size=10)
224 'country', hash_bucket_size=5)
226 [sq_footage_bucket, country], hash_bucket_size=10)
300 'country', hash_bucket_size=5)
302 [sq_footage_bucket, country], hash_bucket_size=10)
335 'country', hash_bucket_size=5
[all...] |
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| feature_column_test.py | 63 a = fc.sparse_column_with_hash_bucket("aaa", hash_bucket_size=100)
68 a = fc.sparse_column_with_hash_bucket("aaa", hash_bucket_size=100)
73 "aaa", hash_bucket_size=100, dtype=dtypes.int64)
79 "aaa", hash_bucket_size=100, dtype=dtypes.float32)
125 "aaa", hash_bucket_size=100, combiner="sum")
133 "aaa", hash_bucket_size=100, combiner="sum")
300 "b", hash_bucket_size=100, combiner="sum")
337 column_name="ids", hash_bucket_size=10, hash_keys=hash_keys)
359 column_name="ids", hash_bucket_size=100, hash_keys=[])
364 column_name="ids", hash_bucket_size=100, hash_keys=1
[all...] |
| feature_column_ops_test.py | 421 "language", hash_bucket_size=3)
423 "country", hash_bucket_size=5)
425 [language, country], hash_bucket_size=15)
453 "country", hash_bucket_size=5)
455 [country, price_bucket], hash_bucket_size=15)
477 "country", hash_bucket_size=5)
482 [country, price_bucket], hash_bucket_size=1000)
515 "country", hash_bucket_size=5)
517 [country, price_bucket], hash_bucket_size=15)
520 [wire, country_price], hash_bucket_size=15
[all...] |
| feature_column.py | 75 hash_bucket_size=1000)
609 hash_bucket_size,
624 hash_bucket_size: An int that is > 1. The number of buckets.
642 ValueError: hash_bucket_size is not greater than 2.
647 bucket_size=hash_bucket_size,
[all...] |
| /external/tensorflow/tensorflow/examples/get_started/regression/ |
| dnn_regression.py | 65 key="make", hash_bucket_size=50)
|
| linear_regression_categorical.py | 74 key="make", hash_bucket_size=50)
|
| custom_regression.py | 120 key="make", hash_bucket_size=50)
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| svm_test.py | 185 'country', hash_bucket_size=5)
243 'country', hash_bucket_size=5)
245 [sq_footage_bucket, country], hash_bucket_size=10)
|
| linear_test.py | 196 'language', hash_bucket_size=20)
257 'language', hash_bucket_size=20)
481 # The given hash_bucket_size results in variables larger than the
484 'language', hash_bucket_size=2e7)
[all...] |
| dnn_test.py | 266 'language', hash_bucket_size=20)
383 'language', hash_bucket_size=20)
427 'language', hash_bucket_size=20)
474 'language', hash_bucket_size=20)
582 'language', hash_bucket_size=20)
721 'language', hash_bucket_size=20)
767 'language', hash_bucket_size=20)
[all...] |
| dnn_linear_combined_test.py | 327 'language', hash_bucket_size=20)
413 'dummy_sparse_column', hash_bucket_size=100))
459 'dummy_sparse_column', hash_bucket_size=100))
485 # The given hash_bucket_size results in variables larger than the
488 'language', hash_bucket_size=2e7)
567 'language', hash_bucket_size=20)
[all...] |
| /external/tensorflow/tensorflow/python/feature_column/ |
| feature_column.py | 73 hash_bucket_size=1000)
260 key='sparse_feature', hash_bucket_size=5, dtype=tf.string),
473 columns=["sparse_feature_a", "sparse_feature_b"], hash_bucket_size=10000)
[all...] |
| feature_column_test.py | 346 a = fc.categorical_column_with_hash_bucket('aaa', hash_bucket_size=10)
572 self.assertEqual(10, a.hash_bucket_size)
576 with self.assertRaisesRegexp(ValueError, 'hash_bucket_size must be set.'):
581 'hash_bucket_size must be at least 1'):
594 self.assertEqual(10, column.hash_bucket_size)
794 ValueError, 'hash_bucket_size must be > 1'):
799 ValueError, 'hash_bucket_size must be > 1'):
804 ValueError, 'hash_bucket_size must be > 1'):
[all...] |
| /external/tensorflow/tensorflow/python/estimator/ |
| warm_starting_util_test.py | 343 "sc_hash", hash_bucket_size=15)
542 "sc_hash", hash_bucket_size=15)
549 cross = fc.crossed_column([sc_keys, sc_vocab], hash_bucket_size=20)
636 "sc_hash", hash_bucket_size=15)
705 "sc_hash", hash_bucket_size=15)
[all...] |
| /external/tensorflow/tensorflow/contrib/kernel_methods/python/ |
| kernel_estimators_test.py | 207 'country', hash_bucket_size=5)
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/utils/ |
| saved_model_export_utils_test.py | 690 "sparse_column", hash_bucket_size=100)
693 "sparse_column_for_embedding", hash_bucket_size=10),
[all...] |
| /external/tensorflow/tensorflow/python/estimator/canned/ |
| linear_testing_utils.py | 177 'language', hash_bucket_size=x_dim),),
214 'language', hash_bucket_size=x_dim),),
[all...] |
| /external/tensorflow/tensorflow/contrib/boosted_trees/python/training/functions/ |
| gbdt_batch_test.py | 116 "sparse_categorical", hash_bucket_size=1000000))
[all...] |
