| /prebuilts/gradle-plugin/com/android/tools/build/gradle-api/2.4.0-alpha5/ |
| gradle-api-2.4.0-alpha5.jar | |
| /prebuilts/gradle-plugin/com/android/tools/build/gradle-api/2.4.0-alpha6/ |
| gradle-api-2.4.0-alpha6.jar | |
| /prebuilts/gradle-plugin/com/android/tools/build/gradle-api/2.4.0-alpha7/ |
| gradle-api-2.4.0-alpha7.jar | |
| /prebuilts/gradle-plugin/com/android/tools/build/gradle-api/2.5.0-alpha-preview-01/ |
| gradle-api-2.5.0-alpha-preview-01.jar | |
| /prebuilts/gradle-plugin/com/android/tools/build/gradle-api/2.5.0-alpha-preview-02/ |
| gradle-api-2.5.0-alpha-preview-02.jar | |
| /prebuilts/gradle-plugin/com/android/tools/build/gradle-api/3.0.0/ |
| gradle-api-3.0.0.jar | |
| /prebuilts/gradle-plugin/com/android/tools/build/gradle-api/3.0.0-alpha4/ |
| gradle-api-3.0.0-alpha4.jar | |
| /prebuilts/gradle-plugin/com/android/tools/build/gradle-api/3.0.0-alpha5/ |
| gradle-api-3.0.0-alpha5.jar | |
| /prebuilts/gradle-plugin/com/android/tools/build/gradle-api/3.0.0-alpha6/ |
| gradle-api-3.0.0-alpha6.jar | |
| /prebuilts/gradle-plugin/com/android/tools/build/gradle-api/3.0.0-alpha7/ |
| gradle-api-3.0.0-alpha7.jar | |
| /prebuilts/gradle-plugin/com/android/tools/build/gradle-api/3.0.0-alpha9/ |
| gradle-api-3.0.0-alpha9.jar | |
| /prebuilts/gradle-plugin/com/android/tools/build/gradle-api/3.0.0-beta1/ |
| gradle-api-3.0.0-beta1.jar | |
| /prebuilts/gradle-plugin/com/android/tools/build/gradle-api/3.0.0-beta2/ |
| gradle-api-3.0.0-beta2.jar | |
| /prebuilts/gradle-plugin/com/android/tools/build/gradle-api/3.0.0-beta6/ |
| gradle-api-3.0.0-beta6.jar | |
| /prebuilts/gradle-plugin/com/android/tools/build/gradle-api/3.0.0-beta7/ |
| gradle-api-3.0.0-beta7.jar | |
| /prebuilts/gradle-plugin/com/android/tools/build/gradle-api/3.0.0-rc1/ |
| gradle-api-3.0.0-rc1.jar | |
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
| sdca_estimator.py | 223 the model. All items in the set should be instances of classes derived
308 # Returns predicted classes.
388 A generator of predicted classes for the features provided by input_fn.
390 key = prediction_key.PredictionKey.CLASSES
|
| /external/testng/src/main/java/org/testng/reporters/ |
| SuiteHTMLReporter.java | 39 public static final String CLASSES = "classes.html";
227 Utils.writeFile(getOutputDirectory(xmlSuite), CLASSES, sb.toString());
604 .append("<a target='mainFrame' href='").append(CLASSES).append("'>")
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| dynamic_rnn_estimator.py | 178 of classes derived from `FeatureColumn`.
181 steps. All items in the set should be instances of classes derived from
286 predictions_name = (prediction_key.PredictionKey.CLASSES
402 alternative containing the classes and their associated probabilities. When
403 `predict_probabilities == False`, only the classes are included. When
420 of classes derived from `FeatureColumn`.
423 steps. All items in the set should be instances of classes derived from
426 for all classes. Must only be used with
583 in `cell.state_size`, along with `PredictionKey.CLASSES` for problem type
586 `PredictionKey.CLASSES` or `PredictionKey.SCORES` has shap
[all...] |
| dnn.py | 315 the model. All items in the set should be instances of classes derived
320 n_classes: number of label classes. Default is binary classification.
393 By default, returns predicted classes. But this default will be dropped
401 If `None`, returns classes.
408 Numpy array of predicted classes with shape [batch_size] (or an iterable
409 of predicted classes if as_iterable is True). Each predicted class is
432 """Returns predicted classes for given features.
444 Numpy array of predicted classes with shape [batch_size] (or an iterable
445 of predicted classes if as_iterable is True). Each predicted class is
448 key = prediction_key.PredictionKey.CLASSES
[all...] |
| head_test.py | 547 [1, 0, 0], model_fn_ops.predictions["classes"].eval().tolist()[0])
556 self.assertIn("classes", six.iterkeys(predictions_for_serving))
559 predictions_for_serving["classes"].eval())
[all...] |
| linear.py | 309 classes. When number of possible classes is 2, this is binary classification.
406 the model. All items in the set should be instances of classes derived
411 n_classes: number of label classes. Default is binary classification.
503 By default, returns predicted classes. But this default will be dropped
511 If `None`, returns classes.
518 Numpy array of predicted classes with shape [batch_size] (or an iterable
519 of predicted classes if as_iterable is True). Each predicted class is
541 """Returns predicted classes for given features.
553 Numpy array of predicted classes with shape [batch_size] (or an iterabl
[all...] |
| /external/tensorflow/tensorflow/python/estimator/canned/ |
| dnn_testing_utils.py | [all...] |
| /external/testng/src/main/java/org/testng/ |
| TestRunner.java | 93 * All the test methods we found, associated with their respective classes.
94 * Note that these test methods might belong to different classes.
118 // found in all the classes we are going to run. When comes the time to run them,
270 Class<? extends ITestNGListener>[] classes = l.getValue(); local
271 for (Class<? extends ITestNGListener> c : classes) {
437 IClass[] classes = m_testClassFinder.findTestClasses(); local
439 for (IClass ic : classes) {
667 final Set<Class<?>> classes = cim.getClasses(); local
670 // FIXME: directly referencing JUnitTestRunner which uses JUnit classes
688 for(Class<?> tc: classes) {
1155 Map<String, List<ITestNGMethod>> classes = Maps.newHashMap(); local
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/utils/ |
| saved_model_export_utils.py | 110 classes = _get_classification_classes(output_tensors)
112 if classes is None and scores is None:
115 (_, classes), = items
119 examples, classes, scores)
137 classes = output_tensors.get(prediction_key.PredictionKey.CLASSES)
138 if classes is not None and classes.dtype != dtypes.string:
139 # Servo classification can only serve string classes.
141 return classes
[all...] |
