plot.glmtrans: Visualize the losses of different sources and the threshold...

In glmtrans: Transfer Learning under Regularized Generalized Linear Models

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 glmtrans and source_detection, respectively.
...	additional arguments that can be passed to ggplot function.

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)

glmtrans documentation built on April 4, 2025, 12:32 a.m.