ComputeGroupWeights: Compute node weights using scheme from Kim et al [2010].
In tohein/linearMTL: Linear Models for Multi-Task Learning
Description
Usage
Arguments
Value
See Also
View source: R/tree-guided_group_lasso.R
Description
Compute node weights using scheme from Kim et al [2010].
Usage
1
ComputeGroupWeights(groups, s)
Arguments
groups
V by K matrix determining group membership: Task k in group v
iff groups[v,k] == 1.
s
V dimensional vector with weights. Entries for singleton groups will
be ignored.
Value
Vector containing node weights.
See Also
TreeGuidedGroupLasso, BuildTreeHC.
tohein/linearMTL documentation built on May 17, 2019, 8:22 a.m.
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Description Usage Arguments Value See Also
View source: R/tree-guided_group_lasso.R
Description
Compute node weights using scheme from Kim et al [2010].
Usage
1 | ComputeGroupWeights(groups, s)
|
Arguments
groups |
V by K matrix determining group membership: Task k in group v iff groups[v,k] == 1. |
s |
V dimensional vector with weights. Entries for singleton groups will be ignored. |
Value
Vector containing node weights.
See Also
TreeGuidedGroupLasso, BuildTreeHC.
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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