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minor change (moved methods implementation from hpp to cpp)

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This commit is contained in:
Maria Dimashova 2011-06-16 12:35:40 +00:00
parent 74f1162a41
commit 0209d72534
2 changed files with 79 additions and 41 deletions
modules/ml
include/opencv2/ml
ml.hpp
src
data.cpp

22
modules/ml/include/opencv2/ml/ml.hpp

@ -2092,28 +2092,26 @@ public:
// returns:
// 0 - OK
// 1 - file can not be opened or is not correct
int read_csv(const char* filename);
const CvMat* get_values(){ return values; }
int read_csv( const char* filename );
const CvMat* get_values();
const CvMat* get_responses();
const CvMat* get_missing(){ return missing; }
const CvMat* get_missing();
void set_response_idx( int idx ); // old response become predictors, new response_idx = idx
// if idx < 0 there will be no response
int get_response_idx() { return response_idx; }
int get_response_idx();
const CvMat* get_train_sample_idx() { return train_sample_idx; }
const CvMat* get_test_sample_idx() { return test_sample_idx; }
const CvMat* get_train_sample_idx();
const CvMat* get_test_sample_idx();
void mix_train_and_test_idx();
void set_train_test_split( const CvTrainTestSplit * spl);
void set_train_test_split( const CvTrainTestSplit * spl );
const CvMat* get_var_idx();
void chahge_var_idx( int vi, bool state ); // state == true to set vi-variable as predictor
const CvMat* get_var_types();
int get_var_type( int var_idx ) { return var_types->data.ptr[var_idx]; }
int get_var_type( int var_idx );
// following 2 methods enable to change vars type
// use these methods to assign CV_VAR_CATEGORICAL type for categorical variable
// with numerical labels; in the other cases var types are correctly determined automatically
@ -2123,10 +2121,10 @@ public:
void change_var_type( int var_idx, int type); // type in { CV_VAR_ORDERED, CV_VAR_CATEGORICAL }
void set_delimiter( char ch );
char get_delimiter() { return delimiter; }
char get_delimiter();
void set_miss_ch( char ch );
char get_miss_ch() { return miss_ch; }
char get_miss_ch();
protected:
virtual void clear();

98
modules/ml/src/data.cpp

@ -44,7 +44,7 @@
#define MISS_VAL FLT_MAX
#define CV_VAR_MISS 0
CvTrainTestSplit :: CvTrainTestSplit()
CvTrainTestSplit::CvTrainTestSplit()
{
train_sample_part_mode = CV_COUNT;
train_sample_part.count = -1;
@ -52,7 +52,7 @@ CvTrainTestSplit :: CvTrainTestSplit()
mix = false;
}
CvTrainTestSplit :: CvTrainTestSplit( int _train_sample_count, bool _mix )
CvTrainTestSplit::CvTrainTestSplit( int _train_sample_count, bool _mix )
{
train_sample_part_mode = CV_COUNT;
train_sample_part.count = _train_sample_count;
@ -60,7 +60,7 @@ CvTrainTestSplit :: CvTrainTestSplit( int _train_sample_count, bool _mix )
mix = _mix;
}
CvTrainTestSplit :: CvTrainTestSplit( float _train_sample_portion, bool _mix )
CvTrainTestSplit::CvTrainTestSplit( float _train_sample_portion, bool _mix )
{
train_sample_part_mode = CV_PORTION;
train_sample_part.portion = _train_sample_portion;
@ -70,7 +70,7 @@ CvTrainTestSplit :: CvTrainTestSplit( float _train_sample_portion, bool _mix )
////////////////
CvMLData :: CvMLData()
CvMLData::CvMLData()
{
values = missing = var_types = var_idx_mask = response_out = var_idx_out = var_types_out = 0;
train_sample_idx = test_sample_idx = 0;
@ -87,20 +87,20 @@ CvMLData :: CvMLData()
rng = &cv::theRNG();
}
CvMLData :: ~CvMLData()
CvMLData::~CvMLData()
{
clear();
delete class_map;
}
void CvMLData :: free_train_test_idx()
void CvMLData::free_train_test_idx()
{
cvReleaseMat( &train_sample_idx );
cvReleaseMat( &test_sample_idx );
sample_idx = 0;
}
void CvMLData :: clear()
void CvMLData::clear()
{
if ( !class_map->empty() )
class_map->clear();
@ -244,7 +244,17 @@ int CvMLData::read_csv(const char* filename)
return 0;
}
void CvMLData :: str_to_flt_elem( const char* token, float& flt_elem, int& type)
const CvMat* CvMLData::get_values()
{
return values;
}
const CvMat* CvMLData::get_missing()
{
return missing;
}
void CvMLData::str_to_flt_elem( const char* token, float& flt_elem, int& type)
{
char* stopstring = NULL;
@ -273,9 +283,9 @@ void CvMLData :: str_to_flt_elem( const char* token, float& flt_elem, int& type)
}
}
void CvMLData :: set_delimiter(char ch)
void CvMLData::set_delimiter(char ch)
{
CV_FUNCNAME( "CvMLData :: set_delimited" );
CV_FUNCNAME( "CvMLData::set_delimited" );
__BEGIN__;
if (ch == miss_ch /*|| ch == flt_separator*/)
@ -286,9 +296,14 @@ void CvMLData :: set_delimiter(char ch)
__END__;
}
void CvMLData :: set_miss_ch(char ch)
char CvMLData::get_delimiter()
{
CV_FUNCNAME( "CvMLData :: set_miss_ch" );
return delimiter;
}
void CvMLData::set_miss_ch(char ch)
{
CV_FUNCNAME( "CvMLData::set_miss_ch" );
__BEGIN__;
if (ch == delimiter/* || ch == flt_separator*/)
@ -299,9 +314,14 @@ void CvMLData :: set_miss_ch(char ch)
__END__;
}
void CvMLData :: set_response_idx( int idx )
char CvMLData::get_miss_ch()
{
CV_FUNCNAME( "CvMLData :: set_response_idx" );
return miss_ch;
}
void CvMLData::set_response_idx( int idx )
{
CV_FUNCNAME( "CvMLData::set_response_idx" );
__BEGIN__;
if ( !values )
@ -319,9 +339,14 @@ void CvMLData :: set_response_idx( int idx )
__END__;
}
void CvMLData :: change_var_type( int var_idx, int type )
int CvMLData::get_response_idx()
{
CV_FUNCNAME( "CvMLData :: change_var_type" );
return response_idx;
}
void CvMLData::change_var_type( int var_idx, int type )
{
CV_FUNCNAME( "CvMLData::change_var_type" );
__BEGIN__;
int var_count = 0;
@ -347,9 +372,9 @@ void CvMLData :: change_var_type( int var_idx, int type )
return;
}
void CvMLData :: set_var_types( const char* str )
void CvMLData::set_var_types( const char* str )
{
CV_FUNCNAME( "CvMLData :: set_var_types" );
CV_FUNCNAME( "CvMLData::set_var_types" );
__BEGIN__;
const char* ord = 0, *cat = 0;
@ -472,9 +497,9 @@ void CvMLData :: set_var_types( const char* str )
__END__;
}
const CvMat* CvMLData :: get_var_types()
const CvMat* CvMLData::get_var_types()
{
CV_FUNCNAME( "CvMLData :: get_var_types" );
CV_FUNCNAME( "CvMLData::get_var_types" );
__BEGIN__;
uchar *var_types_out_ptr = 0;
@ -511,9 +536,14 @@ const CvMat* CvMLData :: get_var_types()
return var_types_out;
}
const CvMat* CvMLData :: get_responses()
int CvMLData::get_var_type( int var_idx )
{
CV_FUNCNAME( "CvMLData :: get_responses_ptr" );
return var_types->data.ptr[var_idx];
}
const CvMat* CvMLData::get_responses()
{
CV_FUNCNAME( "CvMLData::get_responses_ptr" );
__BEGIN__;
int var_count = 0;
@ -535,9 +565,9 @@ const CvMat* CvMLData :: get_responses()
return response_out;
}
void CvMLData :: set_train_test_split( const CvTrainTestSplit * spl)
void CvMLData::set_train_test_split( const CvTrainTestSplit * spl)
{
CV_FUNCNAME( "CvMLData :: set_division" );
CV_FUNCNAME( "CvMLData::set_division" );
__BEGIN__;
int sample_count = 0;
@ -597,7 +627,17 @@ void CvMLData :: set_train_test_split( const CvTrainTestSplit * spl)
__END__;
}
void CvMLData :: mix_train_and_test_idx()
const CvMat* CvMLData::get_train_sample_idx()
{
return train_sample_idx;
}
const CvMat* CvMLData::get_test_sample_idx()
{
return test_sample_idx;
}
void CvMLData::mix_train_and_test_idx()
{
if ( !values || !sample_idx) return;
@ -614,9 +654,9 @@ void CvMLData :: mix_train_and_test_idx()
}
}
const CvMat* CvMLData :: get_var_idx()
const CvMat* CvMLData::get_var_idx()
{
CV_FUNCNAME( "CvMLData :: get_var_idx" );
CV_FUNCNAME( "CvMLData::get_var_idx" );
__BEGIN__;
int avcount = 0;
@ -654,9 +694,9 @@ const CvMat* CvMLData :: get_var_idx()
return var_idx_out;
}
void CvMLData :: chahge_var_idx( int vi, bool state )
void CvMLData::chahge_var_idx( int vi, bool state )
{
CV_FUNCNAME( "CvMLData :: get_responses_ptr" );
CV_FUNCNAME( "CvMLData::get_responses_ptr" );
__BEGIN__;
int var_count = 0;