#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) |