minor

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

@@ -2064,18 +2064,18 @@ 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(){ return values; }
 
     const CvMat* get_responses();
 
-    const CvMat* get_missing(){ return 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; }
 
-    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() { return train_sample_idx; }
+    const CvMat* get_test_sample_idx() { return test_sample_idx; }
     void mix_train_and_test_idx();
     void set_train_test_split( const CvTrainTestSplit * spl);
     
@@ -2083,7 +2083,7 @@ 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 ) { return var_types->data.ptr[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
@@ -2093,10 +2093,10 @@ 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() { return delimiter; }
 
     void set_miss_ch( char ch );
-    char get_miss_ch() { return miss_ch; };
+    char get_miss_ch() { return miss_ch; }
     
 protected:
     virtual void clear();