| /frameworks/ml/bordeaux/learning/multiclass_pa/native/ |
| H A D | multiclass_pa.cpp | 26 using std::vector;
70 float MulticlassPA::Score(const vector<float>& inputs,
71 const vector<float>& parameters) const {
80 float MulticlassPA::SparseScore(const vector<pair<int, float> >& inputs, argument
81 const vector<float>& parameters) const {
91 float MulticlassPA::L2NormSquare(const vector<float>& inputs) const {
100 const vector<pair<int, float> >& inputs) const {
108 float MulticlassPA::TrainOneExample(const vector<float>& inputs, int target) {
141 const vector<pair<int, float> >& inputs, int target) {
173 float MulticlassPA::Train(const vector<pai argument
99 SparseL2NormSquare( const vector<pair<int, float> >& inputs) const argument
140 SparseTrainOneExample( const vector<pair<int, float> >& inputs, int target) argument
185 SparseTrain( const vector<pair<vector<pair<int, float> >, int> >& data, int num_iterations) argument
212 SparseGetClass(const vector<pair<int, float> >& inputs) argument
226 Test(const vector<pair<vector<float>, int> >& data) argument
238 SparseTest( const vector<pair<vector<pair<int, float> >, int> >& data) argument
[all...] |
| /frameworks/ml/bordeaux/learning/stochastic_linear_ranker/native/ |
| H A D | sparse_weight_vector.h | 18 // Maintains the sparse vector as a list of (name, value) pairs alongwith
60 // true if the checks succeed and false otherwise. A vector is deemed invalid
115 // Load another weight vectors. Will overwrite the current vector.
160 // Convert this vector to a string, simply for debugging.
192 const SparseWeightVector<Key, Hash> &vector) {
193 typename SparseWeightVector<Key, Hash>::Wmap w_map = vector.GetMap();
191 operator <<(std::ostream &stream, const SparseWeightVector<Key, Hash> &vector) argument
|
| /frameworks/native/include/android/ |
| H A D | sensor.h | 159 ASensorVector vector; member in union:ASensorEvent::__anon1273::__anon1274
|
| /frameworks/base/tools/aapt/ |
| H A D | Resource.cpp | 3020 Vector<NamespaceAttributePair> vector; local
3021 vector.add(NamespaceAttributePair(ns, attr));
3022 dest->add(tagStr, vector);
|
| /frameworks/base/libs/hwui/ |
| H A D | Glop.h | 129 float vector[4]; member in struct:android::uirenderer::Glop::Fill::Filter::Matrix
|
| /frameworks/base/libs/hwui/utils/ |
| H A D | SortedListImpl.cpp | 84 ssize_t SortedListImpl::merge(const VectorImpl& vector) { argument
86 if (!vector.isEmpty()) {
87 const void* buffer = vector.arrayImpl();
89 size_t s = vector.size();
100 ssize_t SortedListImpl::merge(const SortedListImpl& vector) { argument
101 // we've merging a sorted vector... nice!
103 if (!vector.isEmpty()) {
105 if (do_compare(vector.itemLocation(vector.size() - 1), arrayImpl()) <= 0) {
106 err = VectorImpl::insertVectorAt(static_cast<const VectorImpl&> (vector),
[all...] |
| /frameworks/base/media/jni/ |
| H A D | android_media_MediaCrypto.cpp | 145 Vector<uint8_t> vector; local
147 vector.insertAt((size_t)0, length);
148 env->GetByteArrayRegion(byteArray, 0, length, (jbyte *)vector.editArray());
149 return vector;
|
| H A D | android_media_MediaDrm.cpp | 435 Vector<uint8_t> vector; local
437 vector.insertAt((size_t)0, length);
438 env->GetByteArrayRegion(byteArray, 0, length, (jbyte *)vector.editArray());
439 return vector;
442 static jbyteArray VectorToJByteArray(JNIEnv *env, Vector<uint8_t> const &vector) { argument
443 size_t length = vector.size();
446 env->SetByteArrayRegion(result, 0, length, (jbyte *)vector.array());
|
| /frameworks/base/core/java/android/gesture/ |
| H A D | Instance.java | 35 // the feature vector
36 final float[] vector; field in class:Instance
46 vector = sample;
51 float[] sample = vector;
|
| H A D | InstanceLearner.java | 44 ArrayList<Prediction> classify(int sequenceType, int orientationType, float[] vector) { argument
51 if (sample.vector.length != vector.length) {
56 distance = GestureUtils.minimumCosineDistance(sample.vector, vector, orientationType);
58 distance = GestureUtils.squaredEuclideanDistance(sample.vector, vector);
|
| H A D | Learner.java | 83 abstract ArrayList<Prediction> classify(int sequenceType, int orientationType, float[] vector); argument
|
| /frameworks/av/media/libstagefright/codecs/aacenc/src/ |
| H A D | transform.c | 434 * description: Calculate max possible scale factor for input vector of shorts
438 static Word16 getScalefactorOfShortVectorStride(const Word16 *vector, /*!< Pointer to input vector */ argument
439 Word16 len, /*!< Length of input vector */
440 Word16 stride) /*!< Stride of input vector */
447 absVal = abs_s(vector[i*stride]);
458 * description: Calculate transform filter for input vector of shorts
|