Statistics.h File Reference
#include <shark/LinAlg/Base.h>
#include <limits>
#include <boost/math/special_functions/fpclassify.hpp>
#include <boost/range/algorithm/nth_element.hpp>
#include <string>
#include <map>
#include <iterator>
#include <boost/serialization/string.hpp>
#include <boost/serialization/map.hpp>
#include <boost/serialization/vector.hpp>

Go to the source code of this file.

Classes

class  shark::statistics::BaseStatisticsObject
 Base class for all Statistic Objects to be used with Statistics. More...
 
class  shark::statistics::FractionMissing
 for a vector of points computes for every dimension the fraction of missing values More...
 
class  shark::statistics::Mean
 For a vector of points computes for every dimension the mean. More...
 
class  shark::statistics::Variance
 For a vector of points computes for every dimension the variance. More...
 
class  shark::statistics::Quantile
 For a vector of points computes for every dimension the p-quantile. More...
 
class  shark::statistics::Median
 For a vector of points computes for every dimension the median. More...
 
class  shark::statistics::LowerQuantile
 For a vector of points computes for every dimension the 25%-quantile. More...
 
class  shark::statistics::UpperQuantile
 For a vector of points computes for every dimension the 75%-quantile. More...
 
class  shark::statistics::ResultTable< Parameter >
 Stores results of a running experiment. More...
 
struct  shark::statistics::Statistics< Parameter >
 Generates Statistics over the results of an experiment. More...
 

Namespaces

 shark
 AbstractMultiObjectiveOptimizer.
 
 shark::statistics
 

Functions

double shark::statistics::missingValue ()
 
bool shark::statistics::isMissing (double value)
 
template<class Parameter >
void shark::statistics::printCSV (Statistics< Parameter > const &statistics)