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Modified logistic regression module according to comments

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- Reworked documentation to reflect actual code
- Removed some unused variables
- Removed unnecessary 'cv::' modifiers
This commit is contained in:
Maksim Shabunin
2014-08-18 18:15:10 +04:00
parent 4667e18831
commit 108caae216
6 changed files with 126 additions and 151 deletions
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modules/ml/test/test_lr.cpp
+4 -4
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@@ -74,7 +74,7 @@ static bool calculateError( const Mat& _p_labels, const Mat& _o_labels, float& e
CV_Assert(_p_labels_temp.total() == _o_labels_temp.total());
CV_Assert(_p_labels_temp.rows == _o_labels_temp.rows);
accuracy = (float)cv::countNonZero(_p_labels_temp == _o_labels_temp)/_p_labels_temp.rows;
accuracy = (float)countNonZero(_p_labels_temp == _o_labels_temp)/_p_labels_temp.rows;
error = 1 - accuracy;
return true;
}
@@ -166,7 +166,7 @@ void CV_LRTest_SaveLoad::run( int /*start_from*/ )
params1.mini_batch_size = 10;
// train and save the classifier
String filename = cv::tempfile(".xml");
String filename = tempfile(".xml");
try
{
// run LR classifier train classifier
@@ -208,8 +208,8 @@ void CV_LRTest_SaveLoad::run( int /*start_from*/ )
// check if there is any difference between computed learnt mat and retreived mat
float errorCount = 0.0;
errorCount += 1 - (float)cv::countNonZero(responses1 == responses2)/responses1.rows;
errorCount += 1 - (float)cv::sum(comp_learnt_mats)[0]/comp_learnt_mats.rows;
errorCount += 1 - (float)countNonZero(responses1 == responses2)/responses1.rows;
errorCount += 1 - (float)sum(comp_learnt_mats)[0]/comp_learnt_mats.rows;
if(errorCount>0)
{