fixed indentation in logistic regression documentation
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@ -116,6 +116,7 @@ The constructors.
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The full constructor initializes corresponding members. The default constructor creates an object with dummy parameters.
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::
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LogisticRegressionParams::LogisticRegressionParams()
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{
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term_crit = cv::TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 1000, 0.001);
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@ -174,11 +175,12 @@ Predicts responses for input samples and returns a float type.
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:param predicted_labels: Predicted labels as a column matrix and of type ``CV_32S``.
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LogisticRegression::get_learnt_thetas
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-------------------------------------
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This function returns the trained paramters arranged across rows. For a two class classifcation problem, it returns a row matrix.
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.. ocv:function:: cv::Mat LogisticRegression::get_learnt_thetas()
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.. ocv:function:: cv::Mat LogisticRegression::get_learnt_thetas() const;
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It returns learnt paramters of the Logistic Regression as a matrix of type ``CV_32F``.
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@ -189,7 +191,7 @@ This function reads the trained LogisticRegression clasifier from disk.
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.. ocv:function:: void LogisticRegression::read(const FileNode& fn)
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LogisticRegression::write
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-------------------------
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------------------------
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This function writes the trained LogisticRegression clasifier to disk.
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.. ocv:function:: void LogisticRegression::write(FileStorage& fs) const
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.. ocv:function:: void LogisticRegression::write(FileStorage& fs) const;
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