LR_simulateDifferencesDS: Computes the gradient and function value of logistic loss...
In transbioZI/dsMTLBase: dsMTL server side base functions
View source: R/LR_simulateDifferencesDS.R
LR_simulateDifferencesDS R Documentation
Computes the gradient and function value of logistic loss based on the removal of one data point from the original data. Used for sensitivity analyses required for the implementation of differential privacy.
Description
Calculate the gradient and function value of logistic loss of a given point based on the removal of one data point from the original data. Used for sensitivity analyses required for the implementation of differential privacy.
Usage
LR_simulateDifferencesDS(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 logistic loss based on the removal of one data point from the original data
Author(s)
Roman Schefzik
transbioZI/dsMTLBase documentation built on Jan. 20, 2025, 8:18 p.m.
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.
View source: R/LR_simulateDifferencesDS.R
| LR_simulateDifferencesDS | R Documentation |
Computes the gradient and function value of logistic loss based on the removal of one data point from the original data. Used for sensitivity analyses required for the implementation of differential privacy.
Description
Calculate the gradient and function value of logistic loss of a given point based on the removal of one data point from the original data. Used for sensitivity analyses required for the implementation of differential privacy.
Usage
LR_simulateDifferencesDS(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 logistic loss based on the removal of one data point from the original data
Author(s)
Roman Schefzik
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.