Higher Level 'API' for 'torch'

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Documentation for package ‘luz’ version 0.4.0

• 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.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_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