| /external/tensorflow/tensorflow/core/kernels/ |
| sdca_internal.cc | 445 // TODO(sibyl-Aix6ihai): Tune this as a function of dataset size.
477 // TODO(sibyl-Aix6ihai): Tune this as a function of dataset size.
|
| /frameworks/base/core/proto/android/server/ |
| jobscheduler.proto | 411 // A com.android.server.job.JobPackageTracker.DataSet object.
416 // How much time has elapsed since the DataSet was instantiated.
|
| /frameworks/base/services/backup/java/com/android/server/backup/restore/ |
| PerformAdbRestoreTask.java | 132 // possible handling states for a given package in the restore dataset
172 Slog.i(TAG, "--- Performing full-dataset restore ---");
[all...] |
| /frameworks/base/services/backup/java/com/android/server/backup/utils/ |
| TarBackupReader.java | 499 // the restore properly only if the dataset provides the
504 + " not installed; requiring apk in dataset");
[all...] |
| /packages/apps/Contacts/src/com/android/contacts/model/ |
| RawContactDelta.java | 213 String dataSet = entityValues.getAsString(RawContacts.DATA_SET);
214 return AccountTypeManager.getInstance(context).getAccountType(type, dataSet);
|
| /packages/apps/Settings/src/com/android/settings/ |
| TrustedCredentialsSettings.java | 529 * When notifying DataSet events in this class, events should be forwarded to mParent.
570 // DataSet events
[all...] |
| /external/tensorflow/tensorflow/python/estimator/ |
| estimator_test.py | [all...] |
| /external/ImageMagick/MagickCore/ |
| identify.c | 1239 dataset, local
[all...] |
| /external/ImageMagick/coders/ |
| json.c | 1370 dataset, local
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/inference/ |
| TTest.java | 161 * t statistic </a> to use in comparing the mean of the dataset described by
384 * comparing the mean of the dataset described by <code>sampleStats</code>
414 * population from which the dataset described by <code>stats</code> is
[all...] |
| TTestImpl.java | 197 * t statistic </a> to use in comparing the mean of the dataset described by
460 * comparing the mean of the dataset described by <code>sampleStats</code>
495 * population from which the dataset described by <code>stats</code> is
[all...] |
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/ |
| state_space_model.py | 101 based on an estimate of the full dataset size. If False, weights it
104 where the full dataset is large enough to overwhelm the prior.
621 # dataset size is the window size.
[all...] |
| /external/tensorflow/tensorflow/docs_src/performance/ |
| performance_guide.md | 611 * Dataset: ImageNet
660 * Dataset: ImageNet
[all...] |
| /external/tensorflow/tensorflow/docs_src/tutorials/ |
| layers.md | 12 **The [MNIST dataset](http://yann.lecun.com/exdb/mnist/) comprises 60,000
87 Let's build a model to classify the images in the MNIST dataset using the
213 Here, our MNIST dataset is composed of monochrome 28x28 pixel images, so the
|
| /external/ltp/utils/ffsb-6.0-rc2/ |
| README | 83 handle the dataset is in fact mounted at the specified location.
|
| /external/python/cpython2/Doc/howto/ |
| sorting.rst | 161 already present in a dataset.
|
| /external/python/cpython3/Doc/howto/ |
| sorting.rst | 150 already present in a dataset.
|
| /external/scapy/doc/scapy/ |
| introduction.rst | 79 the user the desired information. When the dataset is small, the user can just
|
| /external/syslinux/gpxe/src/drivers/net/ath5k/ |
| ath5k_eeprom.c | 712 /* Fill raw dataset
889 /* Fill raw dataset
925 /* Fill raw dataset
[all...] |
| /external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
| kmeans.py | 274 return the entire input dataset.
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| linear_test.py | 56 iris = base.Dataset(data=iris.data[ids], target=iris.target[ids])
[all...] |
| /external/tensorflow/tensorflow/contrib/linear_optimizer/kernels/g3doc/ |
| readme.md | 160 On criteo dataset, the usual Newton method goes out of range for a small (but
|
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| estimators.py | 290 several passes through the whole dataset. Either method will ensure that stale
|
| /external/tensorflow/tensorflow/docs_src/programmers_guide/ |
| embedding.md | 150 *Selection of the nearest neighbors of ?important? in a word embedding dataset.*
|
| /external/tensorflow/tensorflow/examples/tutorials/word2vec/ |
| word2vec_basic.py | 93 """Process raw inputs into a dataset."""
|
