LS_iter_updateDS: Access the gradient and function value of least-square loss
In transbioZI/dsMTLBase: dsMTL server side base functions
View source: R/LS_iter_updateDS.R
LS_iter_updateDS R Documentation
Access the gradient and function value of least-square loss
Description
Calculate the gradient and function value of least-square loss of a given point
Usage
LS_iter_updateDS(w, x, y)
Arguments
w
The current estimate of coefficient vector
x
The design matrix
y
The label vector
Details
The current estimate of w was sent to target server and applied on x,y.
Value
The gradient and function value of a given point
Author(s)
Han Cao
transbioZI/dsMTLBase documentation built on Jan. 20, 2025, 8:18 p.m.
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View source: R/LS_iter_updateDS.R
| LS_iter_updateDS | R Documentation |
Access the gradient and function value of least-square loss
Description
Calculate the gradient and function value of least-square loss of a given point
Usage
LS_iter_updateDS(w, x, y)
Arguments
w |
The current estimate of coefficient vector |
x |
The design matrix |
y |
The label vector |
Details
The current estimate of w was sent to target server and applied on x,y.
Value
The gradient and function value of a given point
Author(s)
Han Cao
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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