Simulation.hpp File Reference

#include "stats/Stats.hpp"
#include "stats/DataPacket.hpp"
#include "utils/Types.hpp"
#include <vector>

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Classes
struct	ppforest2::stats::simulation::params::Classification
	Classification simulation: group-shifted normals. More...
struct	ppforest2::stats::simulation::params::Regression
	Regression simulation: linear model over i.i.d. features. More...
struct	ppforest2::stats::Split
	Indices for a train/test split. More...

Namespaces
namespace	ppforest2
	Binarization strategies for multiclass-to-binary reduction.
namespace	ppforest2::stats
	Statistical infrastructure for training and evaluation.
namespace	ppforest2::stats::simulation
namespace	ppforest2::stats::simulation::params

Functions
DataPacket	ppforest2::stats::simulate (int n, int p, int G, RNG &rng, simulation::params::Classification const &params={})
	Generate a simulated classification dataset.
DataPacket	ppforest2::stats::simulate (int n, int p, RNG &rng, simulation::params::Regression const &params={})
	Generate a simulated regression dataset.
Split	ppforest2::stats::split (DataPacket const &data, float train_ratio, RNG &rng)
	Perform a stratified random train/test split on a DataPacket.