minor change (moved methods implementation from hpp to cpp)

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

@@ -2094,18 +2094,16 @@ public:
     // 1 - file can not be opened or is not correct
     int read_csv( const char* filename );
 
-    const CvMat* get_values(){ return values; }
+    const CvMat* get_values();
-
     const CvMat* get_responses();
-
+    const CvMat* get_missing();
-    const CvMat* get_missing(){ return 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_train_sample_idx();
-    const CvMat* get_test_sample_idx() { return test_sample_idx; }
+    const CvMat* get_test_sample_idx();
     void mix_train_and_test_idx();
     void set_train_test_split( const CvTrainTestSplit * spl );
     
@@ -2113,7 +2111,7 @@ public:
     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();

modules/ml/src/data.cpp

@@ -244,6 +244,16 @@ int CvMLData::read_csv(const char* filename)
     return 0;
 }
 
+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)
 {
     
@@ -286,6 +296,11 @@ void CvMLData :: set_delimiter(char ch)
     __END__;
 }
 
+char CvMLData::get_delimiter()
+{
+    return delimiter;
+}
+
 void CvMLData::set_miss_ch(char ch)
 {
     CV_FUNCNAME( "CvMLData::set_miss_ch" );
@@ -299,6 +314,11 @@ void CvMLData :: set_miss_ch(char ch)
     __END__;
 }
 
+char CvMLData::get_miss_ch()
+{
+    return miss_ch;
+}
+
 void CvMLData::set_response_idx( int idx )
 {
     CV_FUNCNAME( "CvMLData::set_response_idx" );
@@ -319,6 +339,11 @@ void CvMLData :: set_response_idx( int idx )
     __END__;    
 }
 
+int CvMLData::get_response_idx()
+{
+    return response_idx;
+}
+
 void CvMLData::change_var_type( int var_idx, int type )
 {
     CV_FUNCNAME( "CvMLData::change_var_type" );
@@ -511,6 +536,11 @@ const CvMat* CvMLData :: get_var_types()
     return var_types_out;
 }
 
+int CvMLData::get_var_type( int var_idx )
+{
+    return var_types->data.ptr[var_idx];
+}
+
 const CvMat* CvMLData::get_responses()
 {
     CV_FUNCNAME( "CvMLData::get_responses_ptr" );
@@ -597,6 +627,16 @@ void CvMLData :: set_train_test_split( const CvTrainTestSplit * spl)
     __END__;
 }
 
+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;