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Added result_probabilities parameter to CvNormalBayesClassifier::predict method. Issue #3401

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Cosmin Boaca
2014-01-29 13:57:51 +02:00
parent fff5a6c058
commit 97092e31bc
3 changed files with 47 additions and 13 deletions
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modules/ml/doc/normal_bayes_classifier.rst
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@@ -52,12 +52,12 @@ CvNormalBayesClassifier::predict
--------------------------------
Predicts the response for sample(s).
.. ocv:function:: float CvNormalBayesClassifier::predict( const Mat& samples, Mat* results=0 ) const
.. ocv:function:: float CvNormalBayesClassifier::predict( const Mat& samples, Mat* results=0, Mat* results_prob=0 ) const
.. ocv:function:: float CvNormalBayesClassifier::predict( const CvMat* samples, CvMat* results=0 ) const
.. ocv:function:: float CvNormalBayesClassifier::predict( const CvMat* samples, CvMat* results=0, CvMat* results_prob=0 ) const
.. ocv:pyfunction:: cv2.NormalBayesClassifier.predict(samples) -> retval, results
The method estimates the most probable classes for input vectors. Input vectors (one or more) are stored as rows of the matrix ``samples``. In case of multiple input vectors, there should be one output vector ``results``. The predicted class for a single input vector is returned by the method.
The method estimates the most probable classes for input vectors. Input vectors (one or more) are stored as rows of the matrix ``samples``. In case of multiple input vectors, there should be one output vector ``results``. The predicted class for a single input vector is returned by the method. The vector ``results_prob`` contains the output probabilities coresponding to each element of ``result``.
The function is parallelized with the TBB library.