selectKerasOptimizer: Select keras optimizer

In SPOTMisc: Misc Extensions for the 'SPOT' Package

Select keras optimizer

Description

Select one of the following optimizers: "SDG", "RMSPROP", "ADAGRAD", "ADADELTA", "ADAM", "ADAMAX", "NADAM".

Usage

selectKerasOptimizer(
  optimizer,
  learning_rate = 0.01,
  momentum = 0,
  decay = 0,
  nesterov = FALSE,
  clipnorm = NULL,
  clipvalue = NULL,
  rho = 0.9,
  epsilon = NULL,
  beta_1 = 0.9,
  beta_2 = 0.999,
  amsgrad = FALSE,
  ...
)

Arguments

optimizer	integer specifying the algorithm. Can be one of the following: 1=SDG, 2=RMSPROP, 3=ADAGRAD, 4=ADADELTA, 5=ADAM, 6=ADAMAX, or 7=NADAM. ## SGD:
learning_rate	float >= 0. Learning rate.
momentum	float >= 0. Parameter that accelerates SGD in the relevant direction and dampens oscillations.
decay	float >= 0. Learning rate decay over each update.
nesterov	boolean. Whether to apply Nesterov momentum.
clipnorm	Gradients will be clipped when their L2 norm exceeds this value.
clipvalue	Gradients will be clipped when their absolute value exceeds this value. ### RMS:
rho	float >= 0. Decay factor.
epsilon	float >= 0. Fuzz factor. If 'NULL', defaults to 'k_epsilon()'. ### ADAM:
beta_1	The exponential decay rate for the 1st moment estimates. float, 0 < beta < 1. Generally close to 1.
beta_2	The exponential decay rate for the 2nd moment estimates. float, 0 < beta < 1. Generally close to 1.
amsgrad	Whether to apply the AMSGrad variant of this algorithm from the paper "On the Convergence of Adam and Beyond".
...	Unused, present only for backwards compatability

Value

Optimizer for use with compile.keras.engine.training.Model.

SPOTMisc documentation built on Sept. 5, 2022, 5:06 p.m.