ssrnd_predict: Prediction function for the multi-dimensional SSR model

In sisireg: Sign-Simplicity-Regression-Solver

Prediction function for the multi-dimensional SSR model

Description

Calculates the prediction for a given multi-dimensional SSR model

Usage

ssrnd_predict(df_model, xx)

Arguments

df_model	data frame with model coordinates.
xx	data frame with coordinates for prediction.

Value

z	list with predictions.

Author(s)

Dr. Lars Metzner

References

Dr. Lars Metzner (2021) Adäquates Maschinelles Lernen. Independently Published.

Examples

# generate data
set.seed(1234)
x <- rnorm(300)
y <- rnorm(300)
xy <- data.frame(x=x, y=y)
z <-data.frame(z=rnorm(300) + atan2(x, y))
# Training
df_model <- ssrnd(xy, z)
# Prediction
xx <- c(c(0,1), c(-1,1), c(1,-1))
xx <- matrix(xx, ncol = 2)
yy <- ssrnd_predict(df_model, xx)

sisireg documentation built on Aug. 8, 2025, 7:03 p.m.