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ml: apply CV_OVERRIDE/CV_FINAL

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Alexander Alekhin
2018-03-15 16:16:58 +03:00
parent 3314966acb
commit 4d0dd3e509
13 changed files with 370 additions and 301 deletions
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modules/ml/include/opencv2/ml.hpp
+3 -3
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@@ -318,7 +318,7 @@ public:
/** @brief Returns the number of variables in training samples */
CV_WRAP virtual int getVarCount() const = 0;
CV_WRAP virtual bool empty() const;
CV_WRAP virtual bool empty() const CV_OVERRIDE;
/** @brief Returns true if the model is trained */
CV_WRAP virtual bool isTrained() const = 0;
@@ -894,7 +894,7 @@ public:
posterior probabilities for each sample from the input
@param flags This parameter will be ignored
*/
CV_WRAP virtual float predict( InputArray samples, OutputArray results=noArray(), int flags=0 ) const = 0;
CV_WRAP virtual float predict( InputArray samples, OutputArray results=noArray(), int flags=0 ) const CV_OVERRIDE = 0;
/** @brief Returns a likelihood logarithm value and an index of the most probable mixture component
for the given sample.
@@ -1656,7 +1656,7 @@ public:
@param results Predicted labels as a column matrix of type CV_32S.
@param flags Not used.
*/
CV_WRAP virtual float predict( InputArray samples, OutputArray results=noArray(), int flags=0 ) const = 0;
CV_WRAP virtual float predict( InputArray samples, OutputArray results=noArray(), int flags=0 ) const CV_OVERRIDE = 0;
/** @brief This function returns the trained parameters arranged across rows.