regularizer.gr.l2: l2 Regularizer Gradient
In DPpack: Differentially Private Statistical Analysis and Machine Learning
regularizer.gr.l2 R Documentation
l2 Regularizer Gradient
Description
This function implements the l2 regularizer gradient in the form required by
EmpiricalRiskMinimizationDP.CMS and
EmpiricalRiskMinimizationDP.KST.
Usage
regularizer.gr.l2(coeff)
Arguments
coeff
Vector or matrix of coefficients or weights.
Value
Regularizer gradient value at the given coefficient vector.
Examples
coeff <- c(0.5,-1,2)
regularizer.gr.l2(coeff)
DPpack documentation built on April 8, 2023, 9:09 a.m.
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| regularizer.gr.l2 | R Documentation |
l2 Regularizer Gradient
Description
This function implements the l2 regularizer gradient in the form required by
EmpiricalRiskMinimizationDP.CMS and
EmpiricalRiskMinimizationDP.KST.
Usage
regularizer.gr.l2(coeff)
Arguments
coeff |
Vector or matrix of coefficients or weights. |
Value
Regularizer gradient value at the given coefficient vector.
Examples
coeff <- c(0.5,-1,2)
regularizer.gr.l2(coeff)
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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