Removed unused constructor.
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1bfe39f485
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@ -1900,8 +1900,6 @@ namespace cv
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public:
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public:
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KNearestNeighbour();
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KNearestNeighbour();
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~KNearestNeighbour();
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~KNearestNeighbour();
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KNearestNeighbour(const Mat& trainData, const Mat& labels,
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const Mat& sampleIdx = Mat().setTo(Scalar::all(0)), bool isRegression = false, int max_k = 32);
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bool train(const Mat& trainData, Mat& labels, Mat& sampleIdx = Mat().setTo(Scalar::all(0)),
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bool train(const Mat& trainData, Mat& labels, Mat& sampleIdx = Mat().setTo(Scalar::all(0)),
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bool isRegression = false, int max_k = 32, bool updateBase = false);
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bool isRegression = false, int max_k = 32, bool updateBase = false);
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@ -1911,9 +1909,6 @@ namespace cv
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void find_nearest(const oclMat& samples, int k, oclMat& lables);
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void find_nearest(const oclMat& samples, int k, oclMat& lables);
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private:
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private:
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int max_k, var_count;
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int total;
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bool regression;
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oclMat samples_ocl;
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oclMat samples_ocl;
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};
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};
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}
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}
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@ -63,13 +63,7 @@ KNearestNeighbour::KNearestNeighbour()
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KNearestNeighbour::~KNearestNeighbour()
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KNearestNeighbour::~KNearestNeighbour()
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{
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{
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clear();
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clear();
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}
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samples_ocl.release();
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KNearestNeighbour::KNearestNeighbour(const Mat& train_data, const Mat& responses,
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const Mat& sample_idx, bool is_regression, int max_k)
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{
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max_k = max_k;
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CvKNearest::train(train_data, responses, sample_idx, is_regression, max_k);
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}
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}
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void KNearestNeighbour::clear()
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void KNearestNeighbour::clear()
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