ssrnd2_predict: Prediction function for the multi-dimensional SSR model -...
In sisireg: Sign-Simplicity-Regression-Solver
ssrnd2_predict R Documentation
Prediction function for the multi-dimensional SSR model - reworked
Description
Calculates the prediction for a given multi-dimensional SSR model
Usage
ssrnd2_predict(mdl, xx)
Arguments
mdl
data list with previously calculated model.
xx
matrix with coordinates for prediction.
Value
z
array 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(400)
y <- rnorm(400)
z <- rnorm(400) + atan2(x, y)
X <- matrix(cbind(x, y), ncol = 2)
Y <- as.double(z)
# Training
mdl <- ssrnd2(X, Y)
yy <- ssrnd2_predict(mdl, X)
sisireg documentation built on Aug. 8, 2025, 7:03 p.m.
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| ssrnd2_predict | R Documentation |
Prediction function for the multi-dimensional SSR model - reworked
Description
Calculates the prediction for a given multi-dimensional SSR model
Usage
ssrnd2_predict(mdl, xx)
Arguments
mdl |
data list with previously calculated model. |
xx |
matrix with coordinates for prediction. |
Value
z |
array 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(400)
y <- rnorm(400)
z <- rnorm(400) + atan2(x, y)
X <- matrix(cbind(x, y), ncol = 2)
Y <- as.double(z)
# Training
mdl <- ssrnd2(X, Y)
yy <- ssrnd2_predict(mdl, X)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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