fobj: Objective function to minimize
In ArtemSokolov/ordinalRidge: Fast solver for ordinal logistic regression with a ridge penalty
Description
Usage
Arguments
Value
View source: R/ordinal_ridge.R
Description
Objective function to minimize
Usage
1
fobj(K, y, v, b, lambda = 1)
Arguments
K
n-by-n kernel matrix
y
n-by-1 vector of (ordinal) labels
v
kernel weights
b
vector of nb bias terms, where nb = #classes - 1
lambda
ridge regularization coefficient
Value
Objective function value
ArtemSokolov/ordinalRidge documentation built on Dec. 17, 2021, 9:44 a.m.
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Description Usage Arguments Value
View source: R/ordinal_ridge.R
Description
Objective function to minimize
Usage
1 | fobj(K, y, v, b, lambda = 1)
|
Arguments
K |
n-by-n kernel matrix |
y |
n-by-1 vector of (ordinal) labels |
v |
kernel weights |
b |
vector of nb bias terms, where nb = #classes - 1 |
lambda |
ridge regularization coefficient |
Value
Objective function value
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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