merge_proxgrad_opts: Merge default proximal gradient descent options
In krisrs1128/gflasso: Perform graph structured multitask regression, according to Chen, et al.
merge_proxgrad_opts R Documentation
Merge default proximal gradient descent options
Usage
merge_proxgrad_opts(opts, J, K)
Arguments
opts
A potentially partially specified list of regularization and
gradient descent parameters. The currently supported options are,
$delta_conv How small does the change in B need to be to declare convergence?
$eps A tolerance used in calculating the degree of smoothing in the proximal
gradient objective.
$gamma The graph regularization parameter.
$iter_max What is the maximum number of iterations we should run?
$lambda The l1 regularization parameter.
$verbose Should the gradient descent print its progress?
Value
A modified version of opts with defaults filled in.
krisrs1128/gflasso documentation built on Nov. 11, 2023, 4:24 a.m.
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| merge_proxgrad_opts | R Documentation |
Merge default proximal gradient descent options
Usage
merge_proxgrad_opts(opts, J, K)
Arguments
opts |
A potentially partially specified list of regularization and gradient descent parameters. The currently supported options are, $delta_conv How small does the change in B need to be to declare convergence? $eps A tolerance used in calculating the degree of smoothing in the proximal gradient objective. $gamma The graph regularization parameter. $iter_max What is the maximum number of iterations we should run? $lambda The l1 regularization parameter. $verbose Should the gradient descent print its progress? |
Value
A modified version of opts with defaults filled in.
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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