plot.glmtrans {glmtrans} | R Documentation |
Visualize the losses of different sources and the threshold to determine transferability.
Description
Plot the losses of different sources and the threshold to determine transferability for object with class "glmtrans" or "glmtrans_source_detection".
Usage
## S3 method for class 'glmtrans'
plot(x, ...)
Arguments
x |
an object from class "glmtrans" or "glmtrans_source_detection", which are the output of functions |
... |
additional arguments that can be passed to |
Value
a "ggplot" visualization with the transferable threshold and losses of different sources.
References
Tian, Y., & Feng, Y. (2023). Transfer learning under high-dimensional generalized linear models. Journal of the American Statistical Association, 118(544), 2684-2697.
See Also
glmtrans
, source_detection
, ggplot
.
Examples
set.seed(1, kind = "L'Ecuyer-CMRG")
D.training <- models("gaussian", K = 2, p = 500, Ka = 1)
# plot for class "glmtrans"
fit.gaussian <- glmtrans(D.training$target, D.training$source)
plot(fit.gaussian)
# plot for class "glmtrans_source_detection"
detection.gaussian <- source_detection(D.training$target, D.training$source)
plot(detection.gaussian)
[Package glmtrans version 2.1.0 Index]