Searched refs:predict (Results 1 – 12 of 12) sorted by relevance
| /frameworks/base/core/java/android/service/resolver/ |
| D | IResolverRankerService.aidl | 27 void predict(in List<ResolverTarget> targets, IResolverRankerResult result); in predict() method
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| D | ResolverRankerService.java | 148 public void predict(final List<ResolverTarget> targets, final IResolverRankerResult result) in predict() method in ResolverRankerService.ResolverRankerServiceWrapper
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| /frameworks/opt/net/wifi/service/java/com/android/server/wifi/util/ |
| D | KalmanFilter.java | 36 public void predict() { in predict() method in KalmanFilter
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| /frameworks/native/services/sensorservice/ |
| D | Fusion.h | 94 void predict(const vec3_t& w, float dT);
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| D | Fusion.cpp | 317 predict(w, dT); in handleGyro()
336 predict(w_dummy, dT); in handleAcc()
430 void Fusion::predict(const vec3_t& w, float dT) { in predict() function in android::Fusion
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| /frameworks/opt/net/wifi/tests/wifitests/src/com/android/server/wifi/util/ |
| D | KalmanFilterTest.java | 113 kf.predict(); in testPhaseLockedLoop()
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| /frameworks/base/tests/Internal/src/com/android/internal/ml/clustering/ |
| D | KMeansTest.java | 139 List<KMeans.Mean> means = mKMeans.predict(numClusters, X); in predictTest()
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| /frameworks/base/core/java/com/android/internal/graphics/palette/ |
| D | VariationalKMeansQuantizer.java | 135 List<KMeans.Mean> means = mKMeans.predict(k, inputData); in getOptimalKMeans()
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| /frameworks/opt/net/wifi/service/java/com/android/server/wifi/ |
| D | VelocityBasedConnectedScore.java | 91 mFilter.predict(); in updateUsingRssi()
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| /frameworks/av/media/libaudioclient/ |
| D | Android.bp | 140 // Used to strip the "aidl/" from the path, so the build system can predict the
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| /frameworks/base/core/java/com/android/internal/ml/clustering/ |
| D | KMeans.java | 63 public List<Mean> predict(final int k, final float[][] inputData) { in predict() method in KMeans
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| /frameworks/base/core/java/com/android/internal/app/ |
| D | ResolverRankerServiceResolverComparator.java | 469 mRanker.predict(targets, mConnection.resolverRankerResult); in predictSelectProbabilities()
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