ppforest2::stats::simulation::params::Regression Struct Reference

Regression simulation: linear model over i.i.d. features. More...

#include <Simulation.hpp>

Public Attributes
int	n_informative = 0
	Informative feature count (0 → min(p, 5)).
types::Feature	sd = 1.0F
	Standard deviation of feature values.
types::Feature	y_intercept = 0.0F
	Base intercept added to every response.
types::Feature	y_sd = 0.1F
	Standard deviation of response noise.

Detailed Description

Regression simulation: linear model over i.i.d. features.

Features drawn from Normal(0, sd); response is y_intercept + Σ coef_j * x_j + noise for the first n_informative features (default min(p, 5)). Coefficients are deterministic coef_j = j + 1 for reproducibility.

Member Data Documentation

n_informative

int ppforest2::stats::simulation::params::Regression::n_informative = 0

Informative feature count (0 → min(p, 5)).

sd

types::Feature ppforest2::stats::simulation::params::Regression::sd = 1.0F

Standard deviation of feature values.

y_intercept

types::Feature ppforest2::stats::simulation::params::Regression::y_intercept = 0.0F

Base intercept added to every response.

y_sd

types::Feature ppforest2::stats::simulation::params::Regression::y_sd = 0.1F

Standard deviation of response noise.

---

The documentation for this struct was generated from the following file:

• core/src/stats/Simulation.hpp