R: Higher Level 'API' for 'torch'

# Higher Level 'API' for 'torch'

## Documentation for package ‘luz’ version 0.5.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

accelerator | Create an accelerator
as_dataloader | Creates a dataloader from its input
as_dataloader.array | Creates a dataloader from its input
as_dataloader.dataloader | Creates a dataloader from its input
as_dataloader.dataset | Creates a dataloader from its input
as_dataloader.iterable_dataset | Creates a dataloader from its input
as_dataloader.list | Creates a dataloader from its input
as_dataloader.matrix | Creates a dataloader from its input
as_dataloader.numeric | Creates a dataloader from its input
as_dataloader.torch_tensor | Creates a dataloader from its input
context | Context object
ctx | Context object
evaluate | Evaluates a fitted model on a dataset
fit.luz_module_generator | Fit a 'nn_module'
get_metrics | Get metrics from the object
get_metrics.luz_module_fitted | Get metrics from the object
lr_finder | Learning Rate Finder
luz_callback | Create a new callback
luz_callback_auto_resume | Resume training callback
luz_callback_csv_logger | CSV logger callback
luz_callback_early_stopping | Early stopping callback
luz_callback_gradient_clip | Gradient clipping callback
luz_callback_interrupt | Interrupt callback
luz_callback_keep_best_model | Keep the best model
luz_callback_lr_scheduler | Learning rate scheduler callback
luz_callback_metrics | Metrics callback
luz_callback_mixed_precision | Automatic Mixed Precision callback
luz_callback_mixup | Mixup callback
luz_callback_model_checkpoint | Checkpoints model weights
luz_callback_profile | Profile callback
luz_callback_progress | Progress callback
luz_callback_resume_from_checkpoint | Allow resume model training from a specific checkpoint
luz_callback_tfevents | tfevents callback
luz_callback_train_valid | Train-eval callback
luz_load | Load trained model
luz_load_checkpoint | Loads a checkpoint
luz_load_model_weights | Loads model weights into a fitted object.
luz_metric | Creates a new luz metric
luz_metric_accuracy | Accuracy
luz_metric_binary_accuracy | Binary accuracy
luz_metric_binary_accuracy_with_logits | Binary accuracy with logits
luz_metric_binary_auroc | Computes the area under the ROC
luz_metric_mae | Mean absolute error
luz_metric_mse | Mean squared error
luz_metric_multiclass_auroc | Computes the multi-class AUROC
luz_metric_rmse | Root mean squared error
luz_metric_set | Creates a metric set
luz_save | Saves luz objects to disk
luz_save_model_weights | Loads model weights into a fitted object.
nnf_mixup | Mixup logic
nn_mixup_loss | Loss to be used with 'callbacks_mixup()'.
predict.luz_module_fitted | Create predictions for a fitted model
setup | Set's up a 'nn_module' to use with luz
set_hparams | Set hyper-parameter of a module
set_opt_hparams | Set optimizer hyper-parameters