sgd: Vanilla SGD optimization
In ngme2: Linear Latent Non-Gaussian Models with Flexible Distributions
sgd R Documentation
Vanilla SGD optimization
Description
Simple stochastic gradient descent without momentum or preconditioning.
Usage
sgd(stepsize = 0.001)
Arguments
stepsize
stepsize for SGD
Value
a list of control variables for optimization
(used in control_opt function)
ngme2 documentation built on May 20, 2026, 9:10 a.m.
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| sgd | R Documentation |
Vanilla SGD optimization
Description
Simple stochastic gradient descent without momentum or preconditioning.
Usage
sgd(stepsize = 0.001)
Arguments
stepsize |
stepsize for SGD |
Value
a list of control variables for optimization
(used in control_opt function)
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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