/external/chromium_org/tools/memory_inspector/memory_inspector/unittest/mock_adb/ |
D | mock_adb.py | 21 self._responses = {} # Maps expected_cmd (str) -> prepared_response (str). 27 json.dump(self._responses, f) 36 self._responses[cmd] = response
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/external/opencv/ml/include/ |
D | ml.h | 244 CvNormalBayesClassifier( const CvMat* _train_data, const CvMat* _responses, 247 virtual bool train( const CvMat* _train_data, const CvMat* _responses, 282 CvKNearest( const CvMat* _train_data, const CvMat* _responses, 285 virtual bool train( const CvMat* _train_data, const CvMat* _responses, 497 CvSVM( const CvMat* _train_data, const CvMat* _responses, 501 virtual bool train( const CvMat* _train_data, const CvMat* _responses, 504 virtual bool train_auto( const CvMat* _train_data, const CvMat* _responses, 531 const void* _responses, double Cp, double Cn, 534 const CvMat* _responses, CvMemStorage* _storage, double* alpha ); 741 const CvMat* _responses, const CvMat* _var_idx=0, [all …]
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/external/opencv/ml/src/ |
D | mlknearest.cpp | 61 CvKNearest::CvKNearest( const CvMat* _train_data, const CvMat* _responses, in CvKNearest() argument 65 train( _train_data, _responses, _sample_idx, _is_regression, _max_k, false ); in CvKNearest() 92 bool CvKNearest::train( const CvMat* _train_data, const CvMat* _responses, in train() argument 114 _responses, CV_VAR_ORDERED, 0, _sample_idx, true, (const float***)&_data, in train()
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D | ml_inner_functions.cpp | 970 CvMat* _responses = 0; in cvPrepareTrainData() local 1020 CV_CALL( _responses = cvPreprocessOrderedResponses( responses, in cvPrepareTrainData() 1025 CV_CALL( _responses = cvPreprocessCategoricalResponses( responses, in cvPrepareTrainData() 1041 *out_responses = _responses, _responses = 0; in cvPrepareTrainData() 1065 if( _responses != responses ) in cvPrepareTrainData() 1066 cvReleaseMat( &_responses ); in cvPrepareTrainData() 1740 void cvCombineResponseMaps (CvMat* _responses, in cvCombineResponseMaps() argument 1762 if ((!ICV_IS_MAT_OF_TYPE (_responses, CV_32SC1)) || in cvCombineResponseMaps() 1830 samples = _responses->cols + _responses->rows - 1; in cvCombineResponseMaps() 1831 responses = _responses->data.i; in cvCombineResponseMaps()
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D | mlnbayes.cpp | 88 const CvMat* _train_data, const CvMat* _responses, in CvNormalBayesClassifier() argument 103 train( _train_data, _responses, _var_idx, _sample_idx ); in CvNormalBayesClassifier() 107 bool CvNormalBayesClassifier::train( const CvMat* _train_data, const CvMat* _responses, in train() argument 127 _train_data, CV_ROW_SAMPLE, _responses, CV_VAR_CATEGORICAL, in train()
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D | mltree.cpp | 58 const CvMat* _responses, const CvMat* _var_idx, in CvDTreeTrainData() argument 67 set_data( _train_data, _tflag, _responses, _var_idx, _sample_idx, in CvDTreeTrainData() 126 const CvMat* _responses, const CvMat* _var_idx, const CvMat* _sample_idx, in CV_IMPLEMENT_QSORT_EX() 150 data = new CvDTreeTrainData( _train_data, _tflag, _responses, _var_idx, in CV_IMPLEMENT_QSORT_EX() 225 if( !CV_IS_MAT(_responses) || in CV_IMPLEMENT_QSORT_EX() 226 (CV_MAT_TYPE(_responses->type) != CV_32SC1 && in CV_IMPLEMENT_QSORT_EX() 227 CV_MAT_TYPE(_responses->type) != CV_32FC1) || in CV_IMPLEMENT_QSORT_EX() 228 _responses->rows != 1 && _responses->cols != 1 || in CV_IMPLEMENT_QSORT_EX() 229 _responses->rows + _responses->cols - 1 != sample_all ) in CV_IMPLEMENT_QSORT_EX() 330 step = CV_IS_MAT_CONT(_responses->type) ? in CV_IMPLEMENT_QSORT_EX() [all …]
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D | mlsvm.cpp | 1173 CvSVM::CvSVM( const CvMat* _train_data, const CvMat* _responses, in CvSVM() argument 1185 train( _train_data, _responses, _var_idx, _sample_idx, _params ); in CvSVM() 1283 const void* _responses, double Cp, double Cn, in train1() argument 1297 …ok = svm_type == C_SVC ? solver->solve_c_svc( sample_count, var_count, samples, (schar*)_responses, in train1() 1299 … svm_type == NU_SVC ? solver->solve_nu_svc( sample_count, var_count, samples, (schar*)_responses, in train1() 1303 … svm_type == EPS_SVR ? solver->solve_eps_svr( sample_count, var_count, samples, (float*)_responses, in train1() 1305 … svm_type == NU_SVR ? solver->solve_nu_svr( sample_count, var_count, samples, (float*)_responses, in train1() 1525 bool CvSVM::train( const CvMat* _train_data, const CvMat* _responses, in train() argument 1548 svm_type != CvSVM::ONE_CLASS ? _responses : 0, in train() 1590 bool CvSVM::train_auto( const CvMat* _train_data, const CvMat* _responses, in train_auto() argument [all …]
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D | mlboost.cpp | 855 const CvMat* _responses, const CvMat* _var_idx, in CvBoost() argument 864 train( _train_data, _tflag, _responses, _var_idx, _sample_idx, in CvBoost() 909 const CvMat* _responses, const CvMat* _var_idx, in train() argument 928 data = new CvDTreeTrainData( _train_data, _tflag, _responses, _var_idx, in train() 940 data->set_data( _train_data, _tflag, _responses, _var_idx, in train()
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D | mlrtrees.cpp | 232 const CvMat* _responses, const CvMat* _var_idx, in train() argument 250 CV_CALL(data->set_data( _train_data, _tflag, _responses, _var_idx, in train()
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D | _ml.h | 307 cvCombineResponseMaps (CvMat* _responses,
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D | mlcnn.cpp | 163 const CvMat* _responses, 183 _train_data, tflag, _responses, CV_VAR_CATEGORICAL, 397 const CvMat* _responses, const CvStatModelParams* _params, 416 _train_data, tflag, _responses, CV_VAR_CATEGORICAL,
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