gradient: Gradient of the loss function
In LGhilotti/CLLPackage: This package implements descend gradient and steepest descend methods for estimating linear model coefficients
gradient R Documentation
Gradient of the loss function
Description
Gradient of the loss function
Usage
gradient(beta, X, y)
Arguments
beta
[numeric] Point where to evaluate the gradient
X
[numeric] Design matrix
y
[numeric] Observed response vector
Value
[numeric] Gradient of loss function in linear models
LGhilotti/CLLPackage documentation built on April 23, 2022, 3:48 a.m.
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| gradient | R Documentation |
Gradient of the loss function
Description
Gradient of the loss function
Usage
gradient(beta, X, y)
Arguments
beta |
[numeric] Point where to evaluate the gradient |
X |
[numeric] Design matrix |
y |
[numeric] Observed response vector |
Value
[numeric] Gradient of loss function in linear models
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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