shark::statistics Namespace Reference

Classes

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

Functions

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

Function Documentation

◆ isMissing()

bool shark::statistics::isMissing ( double  value)
inline

◆ missingValue()

double shark::statistics::missingValue ( )
inline

Definition at line 58 of file Statistics.h.

Referenced by main(), and shark::statistics::Quantile::statistics().

◆ printCSV()