#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) |