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continued cleaning up the docs and fixing hyperlinks (".. index:: <name>" and ".. _<name>:" are not needed anymore)

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This commit is contained in:
Vadim Pisarevsky
2011-06-09 21:47:57 +00:00
parent 6cc3361427
commit bb8198abfd
4 changed files with 573 additions and 1131 deletions
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modules/ml/doc/boosting.rst
+6 -62
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@@ -43,21 +43,21 @@ Different variants of boosting are known as Discrete Adaboost, Real AdaBoost, Lo
:math:`m` =
:math:`1,2,...,M` :
##.
#.
Fit the classifier
:math:`f_m(x) \in{-1,1}` , using weights
:math:`w_i` on the training data.
##.
#.
Compute
:math:`err_m = E_w [1_{(y =\neq f_m(x))}], c_m = log((1 - err_m)/err_m)` .
##.
#.
Set
:math:`w_i \Leftarrow w_i exp[c_m 1_{(y_i \neq f_m(x_i))}], i = 1,2,...,N,` and renormalize so that
:math:`\Sigma i w_i = 1` .
##.
#.
Output the classifier sign
:math:`[\Sigma m = 1M c_m f_m(x)]` .
@@ -153,67 +153,11 @@ In case of LogitBoost and Gentle AdaBoost, each weak predictor is a regression t
.. index:: CvBoost
.. _CvBoost:
CvBoost
-------
.. c:type:: CvBoost
Boosted tree classifier ::
class CvBoost : public CvStatModel
{
public:
// Boosting type
enum { DISCRETE=0, REAL=1, LOGIT=2, GENTLE=3 };
// Splitting criteria
enum { DEFAULT=0, GINI=1, MISCLASS=3, SQERR=4 };
CvBoost();
virtual ~CvBoost();
CvBoost( const Mat& _train_data, int _tflag,
const Mat& _responses, const Mat& _var_idx=0,
const Mat& _sample_idx=0, const Mat& _var_type=0,
const Mat& _missing_mask=0,
CvBoostParams params=CvBoostParams() );
virtual bool train( const Mat& _train_data, int _tflag,
const Mat& _responses, const Mat& _var_idx=0,
const Mat& _sample_idx=0, const Mat& _var_type=0,
const Mat& _missing_mask=0,
CvBoostParams params=CvBoostParams(),
bool update=false );
virtual float predict( const Mat& _sample, const Mat& _missing=0,
Mat& weak_responses=0, CvSlice slice=CV_WHOLE_SEQ,
bool raw_mode=false ) const;
virtual void prune( CvSlice slice );
virtual void clear();
virtual void write( CvFileStorage* storage, const char* name );
virtual void read( CvFileStorage* storage, CvFileNode* node );
CvSeq* get_weak_predictors();
const CvBoostParams& get_params() const;
...
protected:
virtual bool set_params( const CvBoostParams& _params );
virtual void update_weights( CvBoostTree* tree );
virtual void trim_weights();
virtual void write_params( CvFileStorage* fs );
virtual void read_params( CvFileStorage* fs, CvFileNode* node );
CvDTreeTrainData* data;
CvBoostParams params;
CvSeq* weak;
...
};
.. cpp:class:: CvBoost
Boosted tree classifier, derived from :cpp:class:`CvStatModel`
.. index:: CvBoost::train