generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

fixed indentation in logistic regression documentation

Browse Source
This commit is contained in:
Rahul Kavi 2013-11-05 18:11:41 -05:00 committed by Maksim Shabunin
parent aa35835cfc
commit 7c97dbc196
1 changed files with 5 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
modules/ml/doc/logistic_regression.rst
View File

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