| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| debug.py | 59 def _get_feature_dict(features):
60 if isinstance(features, dict):
61 return features
62 return {"": features}
65 def debug_model_fn(features, labels, mode, params, config=None):
69 features: `Tensor` or dict of `Tensor` (depends on data passed to `fit`).
79 ValueError: If features is an empty dictionary.
86 features = _get_feature_dict(features)
87 if not features
[all...] |
| /external/tensorflow/tensorflow/python/estimator/canned/ |
| linear.py | 83 def linear_logit_fn(features):
87 features: This is the first item returned from the `input_fn`
96 features=features,
114 def _linear_model_fn(features, labels, mode, head, feature_columns, optimizer,
119 features: dict of `Tensor`.
135 ValueError: mode or params are invalid, or features has the wrong type.
137 if not isinstance(features, dict):
138 raise ValueError('features should be a dictionary of `Tensor`s. '
139 'Given type: {}'.format(type(features)))
[all...] |
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| input_pipeline.py | 27 or more floating point values for each time) along with any exogenous features,
39 features may have any shape, but are likewise associated with a timestep. Times
42 features (i.e. times may be missing, but given that a time is specified, every
119 features for the model to use while making the predictions. Values must
134 features = {
140 features.update(exogenous_features)
146 for key, values in features.items():
234 has shape [series length x number of features].
235 In any case, `VALUES` and any exogenous features must have their shapes
256 # Remove the batch dimension from all features
[all...] |
| /external/tensorflow/tensorflow/python/estimator/inputs/ |
| numpy_io_test.py | 42 features, target = input_fn()
47 res = session.run([features, target])
52 session.run([features, target])
54 session.run([features, target])
68 features, target = input_fn()
73 res = session.run([features, target])
79 session.run([features, target])
93 features, target = input_fn()
99 session.run([features, target])
114 features, target = input_fn(
[all...] |
| /cts/common/device-side/util/src/com/android/compatibility/common/util/ |
| FeatureUtil.java | 28 * Device-side utility class for detecting system features
44 /** Returns true if the device has any feature in a given collection of system features */
45 public static boolean hasAnySystemFeature(String... features) {
47 for (String feature : features) {
55 /** Returns true if the device has all features in a given collection of system features */
56 public static boolean hasAllSystemFeatures(String... features) {
58 for (String feature : features) {
66 /** Returns all system features of the device */
|
| /external/e2fsprogs/misc/ |
| mke2fs-hurd.conf | 11 features = has_journal
14 features = has_journal,extent,huge_file,flex_bg,uninit_bg,dir_nlink,extra_isize
|
| /external/guava/guava-gwt/test-super/com/google/common/collect/testing/super/com/google/common/collect/testing/testers/ |
| CollectionCreationTester.java | 19 import static com.google.common.collect.testing.features.CollectionFeature.ALLOWS_NULL_VALUES;
20 import static com.google.common.collect.testing.features.CollectionSize.ZERO;
24 import com.google.common.collect.testing.features.CollectionFeature;
25 import com.google.common.collect.testing.features.CollectionSize;
|
| /external/guava/guava-testlib/src/com/google/common/collect/testing/features/ |
| Feature.java | 17 package com.google.common.collect.testing.features;
24 * Base class for enumerating the features of an interface to be tested.
26 * @param <T> The interface whose features are to be enumerated.
31 /** Returns the set of features that are implied by this feature. */
|
| /external/guava/guava-testlib/src/com/google/common/collect/testing/google/ |
| MultisetEqualsTester.java | 17 import static com.google.common.collect.testing.features.CollectionFeature.ALLOWS_NULL_VALUES;
18 import static com.google.common.collect.testing.features.CollectionSize.ZERO;
21 import com.google.common.collect.testing.features.CollectionFeature;
22 import com.google.common.collect.testing.features.CollectionSize;
|
| /external/guava/guava-testlib/src/com/google/common/collect/testing/testers/ |
| CollectionCreationTester.java | 19 import static com.google.common.collect.testing.features.CollectionFeature.ALLOWS_NULL_VALUES;
20 import static com.google.common.collect.testing.features.CollectionSize.ZERO;
26 import com.google.common.collect.testing.features.CollectionFeature;
27 import com.google.common.collect.testing.features.CollectionSize;
|
| ListAddAllTester.java | 19 import static com.google.common.collect.testing.features.CollectionFeature.SUPPORTS_ADD;
20 import static com.google.common.collect.testing.features.CollectionSize.ZERO;
24 import com.google.common.collect.testing.features.CollectionFeature;
25 import com.google.common.collect.testing.features.CollectionSize;
|
| MapContainsValueTester.java | 19 import static com.google.common.collect.testing.features.CollectionSize.ZERO;
20 import static com.google.common.collect.testing.features.MapFeature.*;
25 import com.google.common.collect.testing.features.CollectionSize;
26 import com.google.common.collect.testing.features.MapFeature;
|
| SetAddAllTester.java | 19 import static com.google.common.collect.testing.features.CollectionFeature.SUPPORTS_ADD;
20 import static com.google.common.collect.testing.features.CollectionSize.ZERO;
24 import com.google.common.collect.testing.features.CollectionFeature;
25 import com.google.common.collect.testing.features.CollectionSize;
|
| /external/harfbuzz_ng/src/ |
| hb-ot-shape.h | 42 const hb_feature_t *features,
|
| /external/iptables/include/ebtables/ |
| ethernetdb.h | 24 #include <features.h>
|
| /external/libmojo/base/android/ |
| cpu_features.cc | 5 #include <cpu-features.h>
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/lib/models/ |
| multiple_additive_trees.h | 39 const boosted_trees::utils::BatchFeatures& features,
|
| /external/tensorflow/tensorflow/contrib/cloud/kernels/ |
| bigquery_table_accessor_test_data.h | 199 const string kTestExampleProto = R"(features {
276 const string kTestExampleProtoWithNulls = R"(features {
329 const string kTestPartialExampleProto = R"(features {
349 const string kTestExampleProtoWithTwoRecords = R"(features {
|
| /external/tensorflow/tensorflow/contrib/estimator/python/estimator/ |
| extenders.py | 32 _VALID_METRIC_FN_ARGS = set(['features', 'labels', 'predictions', 'config'])
49 Example usage of custom metric which uses features:
52 def my_auc(features, labels, predictions):
54 labels, predictions['logistic'], weights=features['weight'])}
68 * features: Input `dict` of `Tensor` objects created by `input_fn` which
86 def new_model_fn(features, labels, mode, config):
87 spec = estimator.model_fn(features, labels, mode, config)
90 new_metrics = _call_metric_fn(metric_fn, features, labels, spec.predictions,
140 """Forward features to predictions dictionary.
142 In some cases, user wants to see some of the features in estimators predictio
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/utils/ |
| input_fn_utils.py | 38 ['features',
44 Training and eval input_fn should return a `(features, labels)` tuple.
47 features: A dict of string to `Tensor` or `SparseTensor`, specifying the
48 features to be passed to the model.
64 feature_spec, and returns all parsed Tensors as features. This input_fn is
81 features = parsing_ops.parse_example(serialized_tf_example, feature_spec)
83 return InputFnOps(features, labels, inputs)
87 def build_default_serving_input_fn(features, default_batch_size=None):
90 Creates an input_fn that expects all features to be fed directly.
95 features: a dict of string to `Tensor`
[all...] |
| /external/webrtc/webrtc/libjingle/xmpp/ |
| mucroomdiscoverytask.cc | 31 std::set<std::string> features; local
35 SignalResult(this, false, "", "", features, extended_info);
51 features.insert(feature->Attr(QN_VAR));
63 SignalResult(this, true, name, conversation_id, features, extended_info);
|
| /external/webrtc/webrtc/modules/audio_processing/vad/ |
| pitch_based_vad.h | 31 // Compute pitch-based voicing probability, given the features.
32 // features: a structure containing features required for computing voicing
39 int VoicingProbability(const AudioFeatures& features, double* p_combined);
|
| /packages/apps/Dialer/java/com/android/dialer/calllogutils/ |
| CallbackActionHelper.java | 43 * @param features Value of features in column {@link android.provider.CallLog.Calls#FEATURES}.
49 String number, int features, String phoneAccountComponentName) {
50 return getCallbackAction(number, features, isDuoCall(phoneAccountComponentName));
57 * @param features Value of features in column {@link android.provider.CallLog.Calls#FEATURES}.
62 String number, int features, boolean isDuoCall) {
70 boolean isVideoCall = (features & Calls.FEATURES_VIDEO) == Calls.FEATURES_VIDEO
[all...] |
| /packages/apps/DocumentsUI/tests/common/com/android/documentsui/testing/ |
| TestEnv.java | 28 import com.android.documentsui.base.Features;
70 public final Features features; field in class:TestEnv
75 private TestEnv(Context context, Features features, String authority) {
76 this.features = features;
79 model = new TestModel(authority, features);
80 archiveModel = new TestModel(ArchivesProvider.AUTHORITY, features);
84 features,
128 Features features = new Features.RuntimeFeatures(context.getResources(), null); local
[all...] |
| /packages/apps/Settings/tests/robotests/src/com/android/settings/testutils/shadow/ |
| ShadowRestrictedLockUtils.java | 63 int features, final @UserIdInt int userId) {
64 return (sKeyguardDisabledFeatures & features) == 0 ? null : new EnforcedAdmin();
95 public static void setKeyguardDisabledFeatures(int features) {
96 sKeyguardDisabledFeatures = features;
|
