CalcSimuPostDemo.hpp File Reference

#include "gstlearn_export.hpp"
#include "Calculators/CalcSimuPost.hpp"
#include "Enum/EPostUpscale.hpp"
#include "Enum/EPostStat.hpp"
#include "Db/DbGrid.hpp"
#include "Basic/NamingConvention.hpp"
#include "Basic/VectorNumT.hpp"

Classes
class	CalcSimuPostDemo

Functions
GSTLEARN_EXPORT int	simuPostDemo (Db *dbin, DbGrid *dbout, const VectorString &names, bool flag_match=false, const EPostUpscale &upscale=EPostUpscale::fromKey("MEAN"), const std::vector< EPostStat > &stats=EPostStat::fromKeys({"MEAN"}), bool verbose=false, const VectorInt &check_targets=VectorInt(), int check_level=0, const NamingConvention &namconv=NamingConvention("Post"))

Function Documentation

GSTLEARN_EXPORT int simuPostDemo	(	Db *	dbin,
		DbGrid *	dbout,
		const VectorString &	names,
		bool	flag_match,
		const EPostUpscale &	upscale,
		const std::vector< EPostStat > &	stats,
		bool	verbose,
		const VectorInt &	check_targets,
		int	check_level,
		const NamingConvention &	namconv
	)

This is a particular use of Simulation Post-Processing functions.

Its specificity is an embedded transformation function which transforms the multivariate simulation vector (combining the one outcome of each variable, and for a given sample) This transformation (which is provided as an example here):

• uses the multivariate simulation vector in input (N elements)
• produces an output vector (Dimension 2) with the mean and the standard deviation of the values of the input vector

For a detailed list of arguments, see simuPost