Optimizers Quick Access

Retrieves one or more TorchOptimizers from mlr3torch_optimizers. Works like mlr3::lrn() and mlr3::lrns().

Usage

t_opt(.key, ...)

t_opts(.keys, ...)

Arguments

.key

(character(1))
Key of the object to retrieve.

...

(any)
See description of dictionary_sugar_get.

.keys

(character())
The keys of the optimizers.

Value

A TorchOptimizer

See also

Other Torch Descriptor: TorchCallback, TorchDescriptor, TorchLoss, TorchOptimizer, as_torch_callbacks(), as_torch_loss(), as_torch_optimizer(), mlr3torch_losses, mlr3torch_optimizers, t_clbk(), t_loss()

Other Dictionary: mlr3torch_callbacks, mlr3torch_losses, mlr3torch_optimizers

Examples

t_opt("adam", lr = 0.1)
#> <TorchOptimizer:adam> Adaptive Moment Estimation
#> * Generator: optim_ignite_adam
#> * Parameters: lr=0.1
#> * Packages: torch,mlr3torch
# get the dictionary
t_opt()
#> <DictionaryMlr3torchOptimizers> with 5 stored values
#> Keys: adagrad, adam, adamw, rmsprop, sgd
t_opts(c("adam", "sgd"))
#> $adam
#> <TorchOptimizer:adam> Adaptive Moment Estimation
#> * Generator: optim_ignite_adam
#> * Parameters: list()
#> * Packages: torch,mlr3torch
#> 
#> $sgd
#> <TorchOptimizer:sgd> Stochastic Gradient Descent
#> * Generator: optim_ignite_sgd
#> * Parameters: list()
#> * Packages: torch,mlr3torch
#> 
# get the dictionary
t_opts()
#> <DictionaryMlr3torchOptimizers> with 5 stored values
#> Keys: adagrad, adam, adamw, rmsprop, sgd