| /external/robolectric-shadows/robolectric/src/main/java/org/robolectric/internal/dependency/ |
| DependencyJar.java | 7 private final String classifier; field in class:DependencyJar
9 public DependencyJar(String groupId, String artifactId, String version, String classifier) {
13 this.classifier = classifier;
33 return classifier;
|
| /external/libnl/include/netlink/route/cls/ |
| fw.h | 2 * netlink/route/cls/fw.h fw classifier
18 #include <netlink/route/classifier.h>
|
| cgroup.h | 2 * netlink/route/cls/cgroup.h Control Groups Classifier
17 #include <netlink/route/classifier.h>
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| basic.h | 2 * netlink/route/cls/basic.h Basic Classifier
16 #include <netlink/route/classifier.h>
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| nonlinear_test.py | 41 classifier = dnn.DNNClassifier(
46 classifier.fit(iris.data, iris.target, max_steps=200)
47 variable_names = classifier.get_variable_names()
49 classifier.get_variable_value("dnn/hiddenlayer_0/weights").shape,
52 classifier.get_variable_value("dnn/hiddenlayer_1/weights").shape,
55 classifier.get_variable_value("dnn/hiddenlayer_2/weights").shape,
58 classifier.get_variable_value("dnn/logits/weights").shape, (10, 3))
97 classifier = dnn.DNNClassifier(
103 classifier.fit(iris.data, iris.target, max_steps=200)
109 classifier = dnn.DNNClassifier
[all...] |
| debug_test.py | 95 classifier = debug.DebugClassifier(n_classes=N_CLASSES)
96 classifier.fit(
99 pred = classifier.predict_classes(
114 classifier = debug.DebugClassifier(n_classes=2)
115 classifier.fit(
118 pred = classifier.predict_classes(
131 classifier = debug.DebugClassifier(n_classes=2)
132 classifier.fit(
135 pred = classifier.predict_classes(
153 classifier = debug.DebugClassifier(n_classes=N_CLASSES
[all...] |
| dnn_linear_combined_test.py | 275 classifier = dnn_linear_combined.DNNLinearCombinedClassifier(
277 classifier.fit(input_fn=_input_fn, steps=2)
287 classifier = dnn_linear_combined.DNNLinearCombinedClassifier(
296 classifier.fit(
305 classifier = dnn_linear_combined.DNNLinearCombinedClassifier(
311 }, classifier.params['embedding_lr_multipliers'])
336 classifier = dnn_linear_combined.DNNLinearCombinedClassifier(
345 self.assertTrue(callable(classifier.params['input_layer_partitioner']))
348 classifier.fit(input_fn=_input_fn_float_label, steps=50)
350 for name in classifier.get_variable_names()
[all...] |
| composable_model_test.py | 135 classifier = _linear_estimator(head, feature_columns=[age, language])
137 classifier.fit(input_fn=input_fn, steps=1000)
138 loss1 = classifier.evaluate(input_fn=input_fn, steps=1)['loss']
139 classifier.fit(input_fn=input_fn, steps=2000)
140 loss2 = classifier.evaluate(input_fn=input_fn, steps=1)['loss']
161 classifier = _joint_linear_estimator(head, feature_columns=[age, language])
163 classifier.fit(input_fn=input_fn, steps=1000)
164 loss1 = classifier.evaluate(input_fn=input_fn, steps=1)['loss']
165 classifier.fit(input_fn=input_fn, steps=2000)
166 loss2 = classifier.evaluate(input_fn=input_fn, steps=1)['loss'
[all...] |
| dnn_test.py | 244 classifier = dnn.DNNClassifier(
250 }, classifier.params['embedding_lr_multipliers'])
275 classifier = dnn.DNNClassifier(
284 self.assertEqual(1, classifier.params['input_layer_min_slice_size'])
287 classifier.fit(input_fn=_input_fn_float_label, steps=50)
289 for name in classifier.get_variable_names():
298 classifier = dnn.DNNClassifier(
304 classifier.fit(input_fn=input_fn, steps=5)
305 scores = classifier.evaluate(input_fn=input_fn, steps=1)
322 classifier = dnn.DNNClassifier
[all...] |
| linear_test.py | 96 classifier = linear.LinearClassifier(feature_columns=[age, language])
97 classifier.fit(input_fn=input_fn, steps=100)
98 loss1 = classifier.evaluate(input_fn=input_fn, steps=1)['loss']
99 classifier.fit(input_fn=input_fn, steps=200)
100 loss2 = classifier.evaluate(input_fn=input_fn, steps=1)['loss']
121 classifier = linear.LinearClassifier(
123 classifier.fit(input_fn=input_fn, steps=100)
124 loss1 = classifier.evaluate(input_fn=input_fn, steps=1)['loss']
125 classifier.fit(input_fn=input_fn, steps=200)
126 loss2 = classifier.evaluate(input_fn=input_fn, steps=1)['loss'
[all...] |
| /external/libnl/include/netlink/cli/ |
| cls.h | 2 * netlink/cli/cls.h CLI Classifier Helpers
15 #include <netlink/route/classifier.h>
|
| /external/tensorflow/tensorflow/lite/java/ovic/src/test/java/org/tensorflow/ovic/ |
| OvicClassifierTest.java | 39 private OvicClassifier classifier; field in class:OvicClassifierTest
84 classifier = new OvicClassifier(labelsInputStream, quantizedModel);
85 assertThat(classifier != null).isTrue();
90 classifier = new OvicClassifier(labelsInputStream, floatModel);
91 assertThat(classifier != null).isTrue();
96 classifier = new OvicClassifier(labelsInputStream, quantizedModel);
97 testResult = classifier.classifyByteBuffer(testImage);
103 classifier = new OvicClassifier(labelsInputStream, floatModel);
104 testResult = classifier.classifyByteBuffer(testImage);
110 classifier = new OvicClassifier(labelsInputStream, lowResModel)
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/learn_io/ |
| io_test.py | 44 classifier = learn.LinearClassifier(
47 classifier.fit(data, labels, steps=100)
48 score = accuracy_score(labels[0], list(classifier.predict_classes(data)))
60 classifier = learn.LinearClassifier(
63 classifier.fit(data, labels, steps=100)
64 score = accuracy_score(labels, list(classifier.predict_classes(data)))
115 classifier = learn.LinearClassifier(
118 classifier.fit(data, labels, steps=100)
119 predictions = data.map_partitions(classifier.predict).compute()
|
| /external/tensorflow/tensorflow/lite/java/ovic/src/main/java/org/tensorflow/ovic/ |
| OvicClassifierBenchmarker.java | 25 /** Class that benchmarks image classifier models. */
32 private OvicClassifier classifier; field in class:OvicClassifierBenchmarker
39 /** Test if the classifier is ready for benchmarking. */
42 return (classifier != null);
55 Log.i(TAG, "Creating classifier.");
56 classifier = new OvicClassifier(labelInputStream, model);
57 int [] inputDims = classifier.getInputDims();
66 Log.e(TAG, "Failed to initialize ImageNet classifier for the benchmarker.");
86 iterResult = classifier.classifyByteBuffer(imgData);
107 return classifier.getNumPredictions()
[all...] |
| OvicValidator.java | 65 OvicClassifier classifier = new OvicClassifier(labelsInputStream, model); local
66 int[] inputDims = classifier.getInputDims();
68 OvicClassificationResult testResult = classifier.classifyByteBuffer(imgData);
|
| /external/protobuf/ |
| build.gradle | 106 classifier "micronano"
115 classifier "nano"
124 classifier "micro"
133 classifier "lite"
|
| /external/webrtc/webrtc/modules/audio_coding/neteq/ |
| audio_classifier_unittest.cc | 29 // Test all-zero vectors and let the classifier converge from its default
41 AudioClassifier classifier; local
54 classifier.Analysis(in.get(), channels * kFrameSize, channels);
55 EXPECT_EQ(is_music, classifier.is_music());
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
| estimator_test.py | 151 classifier = estimator.GradientBoostedDecisionTreeClassifier(
159 classifier.fit(input_fn=_train_input_fn, steps=15)
160 classifier.evaluate(input_fn=_eval_input_fn, steps=1)
161 classifier.export(self._export_dir_base)
170 classifier = estimator.GradientBoostedDecisionTreeClassifier(
179 classifier.fit(input_fn=_train_input_fn, steps=15)
180 result_iter = classifier.predict(input_fn=_eval_input_fn)
217 classifier = estimator.GradientBoostedDecisionTreeClassifier(
226 classifier.fit(input_fn=_train_input_fn, steps=15)
227 classifier.evaluate(input_fn=_eval_input_fn, steps=1
[all...] |
| /external/icu/android_icu4j/src/main/tests/android/icu/dev/test/bidi/ |
| TestClassOverride.java | 84 if (this.classifier == null) {
86 errln("Bidi classifier is not yet set, but reported as not null");
89 Class<?> expectedClass = this.classifier.getClass();
90 assertTrue("null Bidi classifier", actualClassifier != null);
95 Object context = classifier.getContext();
101 assertEquals("Unexpected classifier context", context,
108 errln("Bidi object reports classifier is an instance of " +
110 ",\nwhile the expected classifier should be an " +
116 CustomClassifier classifier = null; field in class:TestClassOverride
128 classifier = new CustomClassifier(new Integer(TestData.R))
[all...] |
| /external/icu/icu4j/main/tests/core/src/com/ibm/icu/dev/test/bidi/ |
| TestClassOverride.java | 81 if (this.classifier == null) {
83 errln("Bidi classifier is not yet set, but reported as not null");
86 Class<?> expectedClass = this.classifier.getClass();
87 assertTrue("null Bidi classifier", actualClassifier != null);
92 Object context = classifier.getContext();
98 assertEquals("Unexpected classifier context", context,
105 errln("Bidi object reports classifier is an instance of " +
107 ",\nwhile the expected classifier should be an " +
113 CustomClassifier classifier = null; field in class:TestClassOverride
125 classifier = new CustomClassifier(new Integer(TestData.R))
[all...] |
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
| sdca_estimator_test.py | 56 classifier = sdca_estimator.SDCALogisticClassifier(
60 classifier.fit(input_fn=input_fn, steps=100)
61 loss = classifier.evaluate(input_fn=input_fn, steps=1)['loss']
80 classifier = sdca_estimator.SDCALogisticClassifier(
82 classifier.fit(input_fn=input_fn, steps=100)
83 loss = classifier.evaluate(input_fn=input_fn, steps=1)['loss']
104 classifier = sdca_estimator.SDCALogisticClassifier(
109 classifier.fit(input_fn=input_fn, steps=50)
110 metrics = classifier.evaluate(input_fn=input_fn, steps=1)
135 classifier = sdca_estimator.SDCALogisticClassifier
[all...] |
| /external/fonttools/Lib/fontTools/misc/ |
| classifyTools.py | 7 class Classifier(object):
10 Main Classifier object, used to classify things into similar sets.
23 Add a set to the classifier. Any iterable is accepted.
65 Add a a list of sets to the classifier. Any iterable of iterables is accepted.
88 The return value belongs to the Classifier object and should NOT
89 be modified while the classifier is still in use.
97 The return value belongs to the Classifier object and should NOT
98 be modified while the classifier is still in use.
106 The return value belongs to the Classifier object and should NOT
107 be modified while the classifier is still in use
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/ |
| grid_search_test.py | 46 classifier = learn.DNNClassifier(
51 classifier, {'hidden_units': [[5, 5], [10, 10]]},
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/client/ |
| random_forest_test.py | 72 classifier = random_forest.TensorForestEstimator(hparams.fill())
75 classifier.fit(input_fn=input_fn, steps=100)
76 res = classifier.evaluate(input_fn=input_fn, steps=10)
81 predictions = list(classifier.predict(input_fn=predict_input_fn))
116 classifier = random_forest.TensorForestEstimator(
133 classifier.fit(input_fn=input_fn, steps=100)
134 predictions = list(classifier.predict(input_fn=input_fn))
155 classifier = random_forest.TensorForestEstimator(
162 classifier.fit(input_fn=input_fn, steps=100)
165 self._assert_checkpoint(classifier.model_dir, global_step=5
[all...] |
| /external/okhttp/website/static/ |
| jquery-maven-artifact.min.js | 7 */(function(e){function n(e,t){var n=e.groupId.replace(/\./g,"/"),r="http://repo1.maven.org/maven2/"+n+"/"+e.artifactId+"/"+t+"/"+e.artifactId+"-"+t;return typeof e.classifier!="undefined"&&(r+="-"+e.classifier),r+="."+e.packaging,r}function r(e){var t={groupId:"g",artifactId:"a",packaging:"p",classifier:"l"},n="";for(var r in t)t.hasOwnProperty(r)&&e.hasOwnProperty(r)&&(n!==""&&(n+="+AND+"),n+=t[r]+' (…) property in class:r.t
|
