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Minor doc fix

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This commit is contained in:
Ilya Lysenkov
2011-06-23 15:40:20 +00:00
parent 023f48dcf3
commit 04d484c6ce
3 changed files with 6 additions and 5 deletions
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doc/check_docs_whitelist.txt
+2 -1
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@@ -43,7 +43,8 @@ Mat cv::findFundamentalMat( InputArray points1, InputArray points2, OutputArray
Mat findHomography( InputArray srcPoints, InputArray dstPoints, OutputArray mask, int method=0, double ransacReprojThreshold=3);
########################################## ml ######################################
cvParamLattice
cvDefaultParamLattice
CvBoostTree
CvForestTree
CvSVMKernel
modules/ml/doc/random_trees.rst
+2 -2
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@@ -223,7 +223,7 @@ CvRTrees::calc_error
The method is identical to :ocv:func:`CvDTree::calc_error` but uses the random forest as predictor.
.. index:: CvRTrees::get_train_error()
.. index:: CvRTrees::get_train_error
.. _CvRTrees::get_train_error:
@@ -236,7 +236,7 @@ CvRTrees::get_train_error
The method works for classification problems only. It returns the proportion of incorrectly classified train samples.
.. index:: CvRTrees::get_rng()
.. index:: CvRTrees::get_rng
.. _CvRTrees::get_rng:
modules/ml/doc/statistical_models.rst
+2 -2
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@@ -142,7 +142,7 @@ The method ``write`` stores the complete model state in the file storage with th
CvStatModel::read
-----------------
.. ocv:function:: void CvStatMode::read( CvFileStorage* storage, CvFileNode* node )
.. ocv:function:: void CvStatModel::read( CvFileStorage* storage, CvFileNode* node )
Reads the model from the file storage.
@@ -157,7 +157,7 @@ The previous model state is cleared by ``clear()`` .
CvStatModel::train
------------------
.. ocv:function:: bool CvStatMode::train( const Mat& train_data, [int tflag,] ..., const Mat& responses, ..., [const Mat& var_idx,] ..., [const Mat& sample_idx,] ... [const Mat& var_type,] ..., [const Mat& missing_mask,] <misc_training_alg_params> ... )
.. ocv:function:: bool CvStatModel::train( const Mat& train_data, [int tflag,] ..., const Mat& responses, ..., [const Mat& var_idx,] ..., [const Mat& sample_idx,] ... [const Mat& var_type,] ..., [const Mat& missing_mask,] <misc_training_alg_params> ... )
Trains the model.