Create predictions for a fitted model
# S3 method for luz_module_fitted
predict(
object,
newdata,
...,
callbacks = list(),
accelerator = NULL,
verbose = NULL,
dataloader_options = NULL
)(fitted model) the fitted model object returned from fit.luz_module_generator()
(dataloader, dataset, list or array) returning a list with at least 1 element. The other elements aren't used.
Currently unused.
(list, optional) A list of callbacks defined with
luz_callback() that will be called during the training procedure. The
callbacks luz_callback_metrics(), luz_callback_progress() and
luz_callback_train_valid() are always added by default.
(accelerator, optional) An optional accelerator() object
used to configure device placement of the components like torch::nn_modules,
optimizers and batches of data.
(logical, optional) An optional boolean value indicating if
the fitting procedure should emit output to the console during training.
By default, it will produce output if interactive() is TRUE, otherwise
it won't print to the console.
Options used when creating a dataloader. See
torch::dataloader(). shuffle=TRUE by default for the training data and
batch_size=32 by default. It will error if not NULL and data is
already a dataloader.
Other training:
evaluate(),
fit.luz_module_generator(),
setup()