| /external/tensorflow/tensorflow/contrib/boosted_trees/lib/models/ |
| multiple_additive_trees.cc | 27 const boosted_trees::utils::BatchFeatures& features,
34 const int64 batch_size = features.batch_size();
40 auto update_predictions = [&config, &features, &trees_to_include,
42 auto examples_iterable = features.examples_iterable(start, end);
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/core/ops/ |
| utils.h | 34 // Returns a random set of num_features_to_pick features in the
36 // features for subsequent calls with the same tree_num, node_num, and
41 std::vector<int32>* features);
|
| /external/valgrind/none/tests/s390x/ |
| ex_sig.c | 1 #include <features.h>
|
| /libcore/harmony-tests/src/test/java/org/apache/harmony/tests/org/xml/sax/support/ |
| MockFilter.java | 39 private Set<String> features = new HashSet<String>(); field in class:MockFilter
51 return features.contains(name);
63 features.add(name);
65 features.remove(name);
|
| /prebuilts/gcc/linux-x86/host/x86_64-linux-glibc2.15-4.8/sysroot/usr/include/ |
| error.h | 23 #include <features.h>
|
| fstab.h | 35 #include <features.h>
|
| iconv.h | 22 #include <features.h>
|
| ifaddrs.h | 23 #include <features.h>
|
| ttyent.h | 35 #include <features.h>
|
| ucontext.h | 24 #include <features.h>
|
| /prebuilts/gcc/linux-x86/host/x86_64-linux-glibc2.15-4.8/sysroot/usr/include/i386-linux-gnu/sys/ |
| ipc.h | 22 #include <features.h>
|
| poll.h | 23 #include <features.h>
|
| /prebuilts/gcc/linux-x86/host/x86_64-linux-glibc2.15-4.8/sysroot/usr/include/net/ |
| if_shaper.h | 22 #include <features.h>
|
| /prebuilts/gcc/linux-x86/host/x86_64-linux-glibc2.15-4.8/sysroot/usr/include/rpc/ |
| des_crypt.h | 38 #include <features.h>
|
| /prebuilts/gcc/linux-x86/host/x86_64-linux-glibc2.15-4.8/sysroot/usr/include/x86_64-linux-gnu/sys/ |
| ipc.h | 22 #include <features.h>
|
| poll.h | 23 #include <features.h>
|
| /test/suite_harness/common/host-side/util/src/com/android/compatibility/common/util/ |
| FeatureUtil.java | 26 * Host-side utility class for detecting system features
43 /** Returns true if the device has any feature in a given collection of system features */
44 public static boolean hasAnySystemFeature(ITestDevice device, String... features)
46 for (String feature : features) {
54 /** Returns true if the device has all features in a given collection of system features */
55 public static boolean hasAllSystemFeatures(ITestDevice device, String... features)
57 for (String feature : features) {
65 /** Returns all system features of the device */
69 String output = device.executeShellCommand("pm list features");
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| dnn_linear_combined_test.py | 78 self, mode, features, labels=None, train_op_fn=None, logits=None,
127 features = {
137 dnn_linear_combined._dnn_linear_combined_model_fn(features, labels,
163 features = {
178 features, labels, model_fn.ModeKeys.TRAIN, params)
315 features = {
324 return features, labels
380 features = {}
384 features.update({
392 features['dummy_sparse_column'] = sparse_tensor.SparseTensor
[all...] |
| tensor_signature.py | 180 features: `Tensor` or `dict` of `Tensor` objects.
188 features = parsing_ops.parse_example(examples_batch, feature_spec)
191 features = features[single_feature_name]
192 if not signatures.dtype.is_compatible_with(features.dtype):
193 features = math_ops.cast(features, signatures.dtype)
194 return features
195 # Returns dict of features, casts if needed.
196 for name in features
[all...] |
| /external/guava/guava-gwt/test-super/com/google/common/collect/testing/super/com/google/common/collect/testing/testers/ |
| SetHashCodeTester.java | 19 import static com.google.common.collect.testing.features.CollectionFeature.ALLOWS_NULL_VALUES;
22 import com.google.common.collect.testing.features.CollectionFeature;
23 import com.google.common.collect.testing.features.CollectionSize;
|
| /external/guava/guava-testlib/src/com/google/common/collect/testing/google/ |
| SetMultimapReplaceValuesTester.java | 17 import static com.google.common.collect.testing.features.MapFeature.SUPPORTS_PUT;
18 import static com.google.common.collect.testing.features.MapFeature.SUPPORTS_REMOVE;
22 import com.google.common.collect.testing.features.MapFeature;
|
| /external/guava/guava-testlib/src/com/google/common/collect/testing/testers/ |
| SetHashCodeTester.java | 19 import static com.google.common.collect.testing.features.CollectionFeature.ALLOWS_NULL_VALUES;
24 import com.google.common.collect.testing.features.CollectionFeature;
25 import com.google.common.collect.testing.features.CollectionSize;
|
| /external/tensorflow/tensorflow/contrib/estimator/python/estimator/ |
| dnn.py | 69 Input of `train` and `evaluate` should have following features,
77 - if `column` is a `_WeightedCategoricalColumn`, two features: the first
79 name. Both features' `value` must be a `SparseTensor`.
120 def _model_fn(features, labels, mode, config):
122 features=features,
|
| dnn_linear_combined.py | 76 Input of `train` and `evaluate` should have following features,
82 - if `column` is a `_WeightedCategoricalColumn`, two features: the first
84 name. Both features' `value` must be a `SparseTensor`.
147 def _model_fn(features, labels, mode, config):
149 features=features,
|
| logit_fns.py | 22 `features`: This is the first item returned from the `input_fn` passed to
55 def call_logit_fn(logit_fn, features, mode, params, config):
63 features: The features dict.
83 logit_fn_results = logit_fn(features=features, **kwargs)
|
