opt-class: A Reference Class for optimization.
In stan-dev/gmo: Gradient-based Marginal Optimization
Description
A Reference Class for optimization.
Fields
etaDouble, constant scale factor for learning rate.
grad_prevA numeric vector, previous gradient value.
I_estA numeric vector, an estimate of the inverse Fisher information.
Methods
update_params(par, grad, iter)Update parameters using Nesterov's accelerated gradient with
RMSprop.
stan-dev/gmo documentation built on May 30, 2019, 8:45 a.m.
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Description
A Reference Class for optimization.
Fields
etaDouble, constant scale factor for learning rate.
grad_prevA numeric vector, previous gradient value.
I_estA numeric vector, an estimate of the inverse Fisher information.
Methods
update_params(par, grad, iter)Update parameters using Nesterov's accelerated gradient with RMSprop.
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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