removed many extra whitespaces; fixed 1 warning

modules/ml/doc/random_trees.rst

@@ -101,4 +101,3 @@ Returns the variable importance array.
 .. ocv:function:: Mat RTrees::getVarImportance() const
 
 The method returns the variable importance vector, computed at the training stage when ``RTParams::calcVarImportance`` is set to true. If this flag was set to false, the empty matrix is returned.
-

modules/ml/src/data.cpp

@@ -750,7 +750,7 @@ public:
     void setTrainTestSplit(int count, bool shuffle)
     {
         int i, nsamples = getNSamples();
-        CV_Assert( 0 <= count < nsamples );
+        CV_Assert( 0 <= count && count < nsamples );
 
         trainSampleIdx.release();
         testSampleIdx.release();

modules/ml/src/gbt.cpp

@@ -1363,4 +1363,3 @@ float CvGBTrees::predict( const cv::Mat& sample, const cv::Mat& _missing,
 }
 
 #endif
-