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Searched refs:var_count (Results 1 – 17 of 17) sorted by relevance

/external/opencv/ml/src/
Dmlrtrees.cpp107 int var_count; in find_best_split() local
111 var_count = active_var_mask->cols; in find_best_split()
113 CV_ASSERT( var_count == data->var_count ); in find_best_split()
115 for( vi = 0; vi < var_count; vi++ ) in find_best_split()
118 int i1 = cvRandInt(rng) % var_count; in find_best_split()
119 int i2 = cvRandInt(rng) % var_count; in find_best_split()
124 for( vi = 0; vi < data->var_count; vi++ ) in find_best_split()
241 int var_count = 0; in train() local
253 var_count = data->var_count; in train()
254 if( params.nactive_vars > var_count ) in train()
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Dmlnbayes.cpp45 var_count = var_all = 0; in CvNormalBayesClassifier()
91 var_count = var_all = 0; in CvNormalBayesClassifier()
142 var_count = _var_count; in train()
161 CV_CALL(count[cls] = cvCreateMat( 1, var_count, CV_32SC1 )); in train()
162 CV_CALL(sum[cls] = cvCreateMat( 1, var_count, CV_64FC1 )); in train()
163 CV_CALL(productsum[cls] = cvCreateMat( var_count, var_count, CV_64FC1 )); in train()
164 CV_CALL(avg[cls] = cvCreateMat( 1, var_count, CV_64FC1 )); in train()
165 CV_CALL(inv_eigen_values[cls] = cvCreateMat( 1, var_count, CV_64FC1 )); in train()
166 CV_CALL(cov_rotate_mats[cls] = cvCreateMat( var_count, var_count, CV_64FC1 )); in train()
178 if( _var_count != var_count || _var_all != var_all || !(!_var_idx && !var_idx || in train()
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Dmlsvm.cpp231 void CvSVMKernel::calc_non_rbf_base( int vcount, int var_count, const float** vecs, in calc_non_rbf_base() argument
240 for( k = 0; k <= var_count - 4; k += 4 ) in calc_non_rbf_base()
243 for( ; k < var_count; k++ ) in calc_non_rbf_base()
250 void CvSVMKernel::calc_linear( int vcount, int var_count, const float** vecs, in calc_linear() argument
253 calc_non_rbf_base( vcount, var_count, vecs, another, results, 1, 0 ); in calc_linear()
257 void CvSVMKernel::calc_poly( int vcount, int var_count, const float** vecs, in calc_poly() argument
261 calc_non_rbf_base( vcount, var_count, vecs, another, results, params->gamma, params->coef0 ); in calc_poly()
266 void CvSVMKernel::calc_sigmoid( int vcount, int var_count, const float** vecs, in calc_sigmoid() argument
270 calc_non_rbf_base( vcount, var_count, vecs, another, results, in calc_sigmoid()
285 void CvSVMKernel::calc_rbf( int vcount, int var_count, const float** vecs, in calc_rbf() argument
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Dmltree.cpp154 if( !(data->var_count == var_count && in CV_IMPLEMENT_QSORT_EX()
209 var_count = var_all; in CV_IMPLEMENT_QSORT_EX()
222 var_count = var_idx->rows + var_idx->cols - 1; in CV_IMPLEMENT_QSORT_EX()
235 CV_CALL( var_type = cvCreateMat( 1, var_count+2, CV_32SC1 )); in CV_IMPLEMENT_QSORT_EX()
243 for( vi = 0; vi < var_count; vi++ ) in CV_IMPLEMENT_QSORT_EX()
254 var_type->data.i[var_count] = cat_var_count; in CV_IMPLEMENT_QSORT_EX()
255 var_type->data.i[var_count+1] = cat_var_count+1; in CV_IMPLEMENT_QSORT_EX()
279 nv_size = var_count*sizeof(int); in CV_IMPLEMENT_QSORT_EX()
306 for( vi = 0; vi <= var_count; vi++ ) in CV_IMPLEMENT_QSORT_EX()
315 if( vi < var_count ) // analyze i-th input variable in CV_IMPLEMENT_QSORT_EX()
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Dmlknearest.cpp78 var_count = 0; in clear()
86 int CvKNearest::get_var_count() const { return var_count; } in get_var_count()
117 if( _update_base && _dims != var_count ) in train()
126 var_count = _dims; in train()
153 int i, j, count = end - start, k1 = 0, k2 = 0, d = var_count; in find_neighbors_direct()
324 _samples->cols != var_count ) in find_nearest()
Dml_inner_functions.cpp580 int var_count = var_all; in cvPreprocessVarType() local
594 if( /*tm_size != var_count &&*/ tm_size != var_count + 1 ) in cvPreprocessVarType()
598 if( response_type && tm_size > var_count ) in cvPreprocessVarType()
599 *response_type = var_type->data.ptr[var_count*tm_step] != 0; in cvPreprocessVarType()
606 if( var_idx->rows + var_idx->cols - 1 > var_count ) in cvPreprocessVarType()
609 var_count = var_idx->rows + var_idx->cols - 1; in cvPreprocessVarType()
612 CV_CALL( out_var_type = cvCreateMat( 1, var_count, CV_8UC1 )); in cvPreprocessVarType()
616 for( i = 0; i < var_count; i++ ) in cvPreprocessVarType()
850 int i, j, var_count, sample_count, s_step, v_step; in cvGetTrainSamples() local
858 var_count = var_idx ? var_idx->cols + var_idx->rows - 1 : in cvGetTrainSamples()
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Dmlboost.cpp1064 _sample = cvMat( 1, data->var_count, CV_32F ); in update_weights()
1065 _mask = cvMat( 1, data->var_count, CV_8U ); in update_weights()
1274 int i, weak_count, var_count; in predict() local
1290 _sample->cols + _sample->rows - 1 != data->var_count && raw_mode ) in predict()
1322 var_count = data->var_count; in predict()
1339 bufsize = var_count*(sizeof(float) + sizeof(uchar)); in predict()
1348 dst_mask = (uchar*)(buf + var_count); in predict()
1359 for( i = 0; i < var_count; i++ ) in predict()
1400 sample = cvMat( 1, var_count, CV_32F, dst_sample ); in predict()
1405 missing = cvMat( 1, var_count, CV_8UC1, dst_mask ); in predict()
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/external/opencv3/samples/cpp/
Dletter_recog.cpp39 read_num_class_data( const string& filename, int var_count, in read_num_class_data() argument
45 Mat el_ptr(1, var_count, CV_32F); in read_num_class_data()
66 for( i = 0; i < var_count; i++ ) in read_num_class_data()
72 if( i < var_count ) in read_num_class_data()
238 int var_count = data.cols; in build_boost_classifier() local
259 Mat new_data( ntrain_samples*class_count, var_count + 1, CV_32F ); in build_boost_classifier()
270 memcpy(new_data_row, data_row, var_count*sizeof(data_row[0])); in build_boost_classifier()
271 new_data_row[var_count] = (float)j; in build_boost_classifier()
276 Mat var_type( 1, var_count + 2, CV_8U ); in build_boost_classifier()
278 var_type.at<uchar>(var_count) = var_type.at<uchar>(var_count+1) = VAR_CATEGORICAL; in build_boost_classifier()
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/external/opencv3/modules/ml/src/
Dsvm.cpp165 void calc_non_rbf_base( int vcount, int var_count, const float* vecs, in calc_non_rbf_base() argument
172 const float* sample = &vecs[j*var_count]; in calc_non_rbf_base()
174 for( k = 0; k <= var_count - 4; k += 4 ) in calc_non_rbf_base()
177 for( ; k < var_count; k++ ) in calc_non_rbf_base()
183 void calc_linear( int vcount, int var_count, const float* vecs, in calc_linear() argument
186 calc_non_rbf_base( vcount, var_count, vecs, another, results, 1, 0 ); in calc_linear()
189 void calc_poly( int vcount, int var_count, const float* vecs, in calc_poly() argument
193 calc_non_rbf_base( vcount, var_count, vecs, another, results, params.gamma, params.coef0 ); in calc_poly()
198 void calc_sigmoid( int vcount, int var_count, const float* vecs, in calc_sigmoid() argument
202 calc_non_rbf_base( vcount, var_count, vecs, another, results, in calc_sigmoid()
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/external/opencv3/apps/traincascade/
Dold_ml_data.cpp400 int var_count = 0; in change_var_type() local
405 var_count = values->cols; in change_var_type()
407 if ( var_idx < 0 || var_idx >= var_count) in change_var_type()
429 int var_count = 0, set_var_type_count = 0; in set_var_types() local
433 var_count = values->cols; in set_var_types()
542 if (set_var_type_count != var_count) in set_var_types()
597 int var_count = 0; in get_responses() local
601 var_count = values->cols; in get_responses()
603 if ( response_idx < 0 || response_idx >= var_count ) in get_responses()
776 int var_count = 0; in change_var_idx() local
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Dboost.cpp386 for( i = 0; i < var_count; i++ ) in subsample_data()
499 for( int vi = 0; vi < var_count; vi++ ) in subsample_data()
515 var_all = var_count = (int)_featureEvaluator->getNumFeatures(); in CvCascadeBoostTrainData()
521 var_type = cvCreateMat( 1, var_count + 2, CV_32SC1 ); in CvCascadeBoostTrainData()
525 cat_var_count = var_count; in CvCascadeBoostTrainData()
527 for( int vi = 0; vi < var_count; vi++ ) in CvCascadeBoostTrainData()
535 ord_var_count = var_count; in CvCascadeBoostTrainData()
536 for( int vi = 1; vi <= var_count; vi++ ) in CvCascadeBoostTrainData()
541 var_type->data.i[var_count] = cat_var_count; in CvCascadeBoostTrainData()
542 var_type->data.i[var_count+1] = cat_var_count+1; in CvCascadeBoostTrainData()
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Dold_ml_tree.cpp182 if( !(data->var_count == var_count && in set_data()
242 var_count = var_all; in set_data()
255 var_count = var_idx->rows + var_idx->cols - 1; in set_data()
273 CV_CALL( var_type0 = cvPreprocessVarType( _var_type, var_idx, var_count, &r_type )); in set_data()
275 CV_CALL( var_type = cvCreateMat( 1, var_count+2, CV_32SC1 )); in set_data()
283 for( vi = 0; vi < var_count; vi++ ) in set_data()
294 var_type->data.i[var_count] = cat_var_count; in set_data()
295 var_type->data.i[var_count+1] = cat_var_count+1; in set_data()
301 work_var_count = var_count + (is_classifier ? 1 : 0) // for responses class_labels in set_data()
355 nv_size = var_count*sizeof(int); in set_data()
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Dold_ml_inner_functions.cpp497 int var_count, int* response_type ) in cvPreprocessVarType() argument
524 if( /*tm_size != var_count &&*/ tm_size != var_count + 1 ) in cvPreprocessVarType()
528 if( response_type && tm_size > var_count ) in cvPreprocessVarType()
529 *response_type = var_type->data.ptr[var_count*tm_step] != 0; in cvPreprocessVarType()
536 if( var_idx->rows + var_idx->cols - 1 > var_count ) in cvPreprocessVarType()
539 var_count = var_idx->rows + var_idx->cols - 1; in cvPreprocessVarType()
542 CV_CALL( out_var_type = cvCreateMat( 1, var_count, CV_8UC1 )); in cvPreprocessVarType()
546 for( i = 0; i < var_count; i++ ) in cvPreprocessVarType()
780 int i, j, var_count, sample_count, s_step, v_step; in cvGetTrainSamples() local
788 var_count = var_idx ? var_idx->cols + var_idx->rows - 1 : in cvGetTrainSamples()
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Dold_ml.hpp217 int var_count, var_all; member in CvNormalBayesClassifier
280 int max_k, var_count; member in CvKNearest
331 virtual void calc_intersec( int vcount, int var_count, const float** vecs,
372 CvSVMSolver( int count, int var_count, const float** samples, schar* y,
376 virtual bool create( int count, int var_count, const float** samples, schar* y,
385 virtual bool solve_c_svc( int count, int var_count, const float** samples, schar* y,
388 virtual bool solve_nu_svc( int count, int var_count, const float** samples, schar* y,
391 virtual bool solve_one_class( int count, int var_count, const float** samples,
395 virtual bool solve_eps_svr( int count, int var_count, const float** samples, const float* y,
399 virtual bool solve_nu_svr( int count, int var_count, const float** samples, const float* y,
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Dold_ml_boost.cpp1277 _sample = cvMat( 1, data->var_count, CV_32F ); in update_weights()
1278 _mask = cvMat( 1, data->var_count, CV_8U ); in update_weights()
1495 mask = cvCreateMat( 1, data->var_count, CV_8U ); in get_active_vars()
1496 inv_map = cvCreateMat( 1, data->var_count, CV_32S ); in get_active_vars()
1541 for( i = j = 0; i < data->var_count; i++ ) in get_active_vars()
1653 int var_count = active_vars->cols; in predict() local
1675 sample = cv::Mat(1, var_count, CV_32FC1); in predict()
1676 missing = cv::Mat(1, var_count, CV_8UC1); in predict()
1690 for( i = 0; i < var_count; i++ ) in predict()
1824 value = (float)cmap[cofs[vtype[data->var_count]] + cls_idx]; in predict()
/external/opencv/ml/include/
Dml.h257 int var_count, var_all;
308 int max_k, var_count; variable
397 CvSVMSolver( int count, int var_count, const float** samples, schar* y,
401 virtual bool create( int count, int var_count, const float** samples, schar* y,
410 virtual bool solve_c_svc( int count, int var_count, const float** samples, schar* y,
413 virtual bool solve_nu_svc( int count, int var_count, const float** samples, schar* y,
416 virtual bool solve_one_class( int count, int var_count, const float** samples,
420 virtual bool solve_eps_svr( int count, int var_count, const float** samples, const float* y,
424 virtual bool solve_nu_svr( int count, int var_count, const float** samples, const float* y,
432 int var_count; variable
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/external/v8/src/ast/
Dscopes.cc704 int var_count = vars.length(); in CollectStackAndContextLocals() local
705 for (int i = 0; i < var_count; i++) { in CollectStackAndContextLocals()
1602 int var_count = vars.length(); in AllocateNonParameterLocalsAndDeclaredGlobals() local
1603 for (int i = 0; i < var_count; i++) { in AllocateNonParameterLocalsAndDeclaredGlobals()
1608 for (int i = 0; i < var_count; i++) { in AllocateNonParameterLocalsAndDeclaredGlobals()