# Deep Learning with 'mlr3'

## Documentation for package ‘mlr3torch’ version 0.3.2

- DESCRIPTION file.
- Package NEWS.

## Help Pages

A B C D I L M N O P S T

mlr3torch-package | mlr3torch: Deep Learning with 'mlr3'

## -- A --

assert_lazy_tensor | Assert Lazy Tensor
as_data_descriptor | Convert to Data Descriptor
as_lazy_tensor | Convert to Lazy Tensor
as_lazy_tensor.dataset | Convert to Lazy Tensor
as_lr_scheduler | Convert to CallbackSetLRScheduler
as_torch_callback | Convert to a TorchCallback
as_torch_callbacks | Convert to a list of Torch Callbacks
as_torch_loss | Convert to TorchLoss
as_torch_optimizer | Convert to TorchOptimizer
auto_device | Auto Device

## -- B --

batchgetter_categ | Batchgetter for Categorical data
batchgetter_num | Batchgetter for Numeric Data

## -- C --

CallbackSet | Base Class for Callbacks
CallbackSetCheckpoint | Checkpoint Callback
CallbackSetHistory | History Callback
CallbackSetLRScheduler | Learning Rate Scheduling Callback
CallbackSetLRSchedulerOneCycle | OneCycle Learning Rate Scheduling Callback
CallbackSetLRSchedulerReduceOnPlateau | Reduce On Plateau Learning Rate Scheduler
CallbackSetProgress | Progress Callback
CallbackSetTB | TensorBoard Logging Callback
CallbackSetUnfreeze | Unfreezing Weights Callback
callback_set | Create a Set of Callbacks for Torch
ContextTorch | Context for Torch Learner
cross_entropy | Cross Entropy Loss

## -- D --

DataBackendLazy | Lazy Data Backend
DataDescriptor | Data Descriptor

## -- I --

infer_shapes | Infer Shapes
ingress_categ | Ingress Token for Categorical Features
ingress_ltnsr | Ingress Token for Lazy Tensor Feature
ingress_num | Ingress Token for Numeric Features
is_lazy_tensor | Check for lazy tensor

## -- L --

lazy_shape | Shape of Lazy Tensor
lazy_tensor | Create a lazy tensor
LearnerTorch | Base Class for Torch Learners
LearnerTorchFeatureless | Featureless Torch Learner
LearnerTorchFTTransformer | FT-Transformer
LearnerTorchImage | Image Learner
LearnerTorchMLP | Multi Layer Perceptron
LearnerTorchModel | Learner Torch Model
LearnerTorchModule | Learner Torch Module
LearnerTorchTabResNet | Tabular ResNet
LearnerTorchVision | AlexNet Image Classifier

## -- M --

materialize | Materialize Lazy Tensor Columns
materialize.list | Materialize Lazy Tensor Columns
mlr3torch | mlr3torch: Deep Learning with 'mlr3'
mlr3torch_callbacks | Dictionary of Torch Callbacks
mlr3torch_losses | Loss Functions
mlr3torch_optimizers | Optimizers
mlr_backends_lazy | Lazy Data Backend
mlr_callback_set | Base Class for Callbacks
mlr_callback_set.checkpoint | Checkpoint Callback
mlr_callback_set.history | History Callback
mlr_callback_set.lr_scheduler | Learning Rate Scheduling Callback
mlr_callback_set.lr_scheduler_one_cycle | OneCycle Learning Rate Scheduling Callback
mlr_callback_set.lr_scheduler_reduce_on_plateau | Reduce On Plateau Learning Rate Scheduler
mlr_callback_set.progress | Progress Callback
mlr_callback_set.tb | TensorBoard Logging Callback
mlr_callback_set.unfreeze | Unfreezing Weights Callback
mlr_context_torch | Context for Torch Learner
mlr_learners.ft_transformer | FT-Transformer
mlr_learners.mlp | Multi Layer Perceptron
mlr_learners.module | Learner Torch Module
mlr_learners.tab_resnet | Tabular ResNet
mlr_learners.torchvision | AlexNet Image Classifier
mlr_learners.torch_featureless | Featureless Torch Learner
mlr_learners_torch | Base Class for Torch Learners
mlr_learners_torch_image | Image Learner
mlr_learners_torch_model | Learner Torch Model
mlr_pipeops_augment_center_crop | Center Crop Augmentation
mlr_pipeops_augment_color_jitter | Color Jitter Augmentation
mlr_pipeops_augment_crop | Crop Augmentation
mlr_pipeops_augment_hflip | Horizontal Flip Augmentation
mlr_pipeops_augment_random_affine | Random Affine Augmentation
mlr_pipeops_augment_random_choice | Random Choice Augmentation
mlr_pipeops_augment_random_crop | Random Crop Augmentation
mlr_pipeops_augment_random_horizontal_flip | Random Horizontal Flip Augmentation
mlr_pipeops_augment_random_order | Random Order Augmentation
mlr_pipeops_augment_random_resized_crop | Random Resized Crop Augmentation
mlr_pipeops_augment_random_vertical_flip | Random Vertical Flip Augmentation
mlr_pipeops_augment_resized_crop | Resized Crop Augmentation
mlr_pipeops_augment_rotate | Rotate Augmentation
mlr_pipeops_augment_vflip | Vertical Flip Augmentation
mlr_pipeops_module | Class for Torch Module Wrappers
mlr_pipeops_nn_adaptive_avg_pool1d | 1D Adaptive Average Pooling
mlr_pipeops_nn_adaptive_avg_pool2d | 2D Adaptive Average Pooling
mlr_pipeops_nn_adaptive_avg_pool3d | 3D Adaptive Average Pooling
mlr_pipeops_nn_avg_pool1d | 1D Average Pooling
mlr_pipeops_nn_avg_pool2d | 2D Average Pooling
mlr_pipeops_nn_avg_pool3d | 3D Average Pooling
mlr_pipeops_nn_batch_norm1d | 1D Batch Normalization
mlr_pipeops_nn_batch_norm2d | 2D Batch Normalization
mlr_pipeops_nn_batch_norm3d | 3D Batch Normalization
mlr_pipeops_nn_block | Block Repetition
mlr_pipeops_nn_celu | CELU Activation Function
mlr_pipeops_nn_conv1d | 1D Convolution
mlr_pipeops_nn_conv2d | 2D Convolution
mlr_pipeops_nn_conv3d | 3D Convolution
mlr_pipeops_nn_conv_transpose1d | Transpose 1D Convolution
mlr_pipeops_nn_conv_transpose2d | Transpose 2D Convolution
mlr_pipeops_nn_conv_transpose3d | Transpose 3D Convolution
mlr_pipeops_nn_dropout | Dropout
mlr_pipeops_nn_elu | ELU Activation Function
mlr_pipeops_nn_flatten | Flattens a Tensor
mlr_pipeops_nn_fn | Custom Function
mlr_pipeops_nn_ft_cls | CLS Token for FT-Transformer
mlr_pipeops_nn_ft_transformer_block | Single Transformer Block for the FT-Transformer
mlr_pipeops_nn_geglu | GeGLU Activation Function
mlr_pipeops_nn_gelu | GELU Activation Function
mlr_pipeops_nn_glu | GLU Activation Function
mlr_pipeops_nn_hardshrink | Hard Shrink Activation Function
mlr_pipeops_nn_hardsigmoid | Hard Sigmoid Activation Function
mlr_pipeops_nn_hardtanh | Hard Tanh Activation Function
mlr_pipeops_nn_head | Output Head
mlr_pipeops_nn_identity | Identity Layer
mlr_pipeops_nn_layer_norm | Layer Normalization
mlr_pipeops_nn_leaky_relu | Leaky ReLU Activation Function
mlr_pipeops_nn_linear | Linear Layer
mlr_pipeops_nn_log_sigmoid | Log Sigmoid Activation Function
mlr_pipeops_nn_max_pool1d | 1D Max Pooling
mlr_pipeops_nn_max_pool2d | 2D Max Pooling
mlr_pipeops_nn_max_pool3d | 3D Max Pooling
mlr_pipeops_nn_merge | Merge Operation
mlr_pipeops_nn_merge_cat | Merge by Concatenation
mlr_pipeops_nn_merge_prod | Merge by Product
mlr_pipeops_nn_merge_sum | Merge by Summation
mlr_pipeops_nn_prelu | PReLU Activation Function
mlr_pipeops_nn_reglu | ReGLU Activation Function
mlr_pipeops_nn_relu | ReLU Activation Function
mlr_pipeops_nn_relu6 | ReLU6 Activation Function
mlr_pipeops_nn_reshape | Reshape a Tensor
mlr_pipeops_nn_rrelu | RReLU Activation Function
mlr_pipeops_nn_selu | SELU Activation Function
mlr_pipeops_nn_sigmoid | Sigmoid Activation Function
mlr_pipeops_nn_softmax | Softmax
mlr_pipeops_nn_softplus | SoftPlus Activation Function
mlr_pipeops_nn_softshrink | Soft Shrink Activation Function
mlr_pipeops_nn_softsign | SoftSign Activation Function
mlr_pipeops_nn_squeeze | Squeeze a Tensor
mlr_pipeops_nn_tanh | Tanh Activation Function
mlr_pipeops_nn_tanhshrink | Tanh Shrink Activation Function
mlr_pipeops_nn_threshold | Treshold Activation Function
mlr_pipeops_nn_tokenizer_categ | Categorical Tokenizer
mlr_pipeops_nn_tokenizer_num | Numeric Tokenizer
mlr_pipeops_nn_unsqueeze | Unqueeze a Tensor
mlr_pipeops_preproc_torch | Base Class for Lazy Tensor Preprocessing
mlr_pipeops_torch | Base Class for Torch Module Constructor Wrappers
mlr_pipeops_torch_callbacks | Callback Configuration
mlr_pipeops_torch_ingress | Entrypoint to Torch Network
mlr_pipeops_torch_ingress_categ | Torch Entry Point for Categorical Features
mlr_pipeops_torch_ingress_ltnsr | Ingress for Lazy Tensor
mlr_pipeops_torch_ingress_num | Torch Entry Point for Numeric Features
mlr_pipeops_torch_loss | Loss Configuration
mlr_pipeops_torch_model | PipeOp Torch Model
mlr_pipeops_torch_model_classif | PipeOp Torch Classifier
mlr_pipeops_torch_model_regr | Torch Regression Model
mlr_pipeops_torch_optimizer | Optimizer Configuration
mlr_pipeops_trafo_adjust_brightness | Adjust Brightness Transformation
mlr_pipeops_trafo_adjust_gamma | Adjust Gamma Transformation
mlr_pipeops_trafo_adjust_hue | Adjust Hue Transformation
mlr_pipeops_trafo_adjust_saturation | Adjust Saturation Transformation
mlr_pipeops_trafo_grayscale | Grayscale Transformation
mlr_pipeops_trafo_nop | No Transformation
mlr_pipeops_trafo_normalize | Normalization Transformation
mlr_pipeops_trafo_pad | Padding Transformation
mlr_pipeops_trafo_reshape | Reshaping Transformation
mlr_pipeops_trafo_resize | Resizing Transformation
mlr_pipeops_trafo_rgb_to_grayscale | RGB to Grayscale Transformation
mlr_tasks_cifar | CIFAR Classification Tasks
mlr_tasks_cifar10 | CIFAR Classification Tasks
mlr_tasks_cifar100 | CIFAR Classification Tasks
mlr_tasks_lazy_iris | Iris Classification Task
mlr_tasks_melanoma | Melanoma Image classification
mlr_tasks_mnist | MNIST Image classification
mlr_tasks_tiny_imagenet | Tiny ImageNet Classification Task
ModelDescriptor | Represent a Model with Meta-Info
model_descriptor_to_learner | Create a Torch Learner from a ModelDescriptor
model_descriptor_to_module | Create a nn_graph from ModelDescriptor
model_descriptor_union | Union of ModelDescriptors

## -- N --

nn | Create a Neural Network Layer
nn_ft_cls | CLS Token for FT-Transformer
nn_ft_transformer_block | Single Transformer Block for FT-Transformer
nn_geglu | GeGLU Module
nn_graph | Graph Network
nn_merge_cat | Concatenates multiple tensors
nn_merge_prod | Product of multiple tensors
nn_merge_sum | Sum of multiple tensors
nn_reglu | ReGLU Module
nn_reshape | Reshape
nn_squeeze | Squeeze
nn_tokenizer_categ | Categorical Tokenizer
nn_tokenizer_num | Numeric Tokenizer
nn_unsqueeze | Unsqueeze

## -- O --

output_dim_for | Network Output Dimension

## -- P --

PipeOpModule | Class for Torch Module Wrappers
PipeOpPreprocTorchAugmentCenterCrop | Center Crop Augmentation
PipeOpPreprocTorchAugmentColorJitter | Color Jitter Augmentation
PipeOpPreprocTorchAugmentCrop | Crop Augmentation
PipeOpPreprocTorchAugmentHflip | Horizontal Flip Augmentation
PipeOpPreprocTorchAugmentRandomAffine | Random Affine Augmentation
PipeOpPreprocTorchAugmentRandomChoice | Random Choice Augmentation
PipeOpPreprocTorchAugmentRandomCrop | Random Crop Augmentation
PipeOpPreprocTorchAugmentRandomHorizontalFlip | Random Horizontal Flip Augmentation
PipeOpPreprocTorchAugmentRandomOrder | Random Order Augmentation
PipeOpPreprocTorchAugmentRandomResizedCrop | Random Resized Crop Augmentation
PipeOpPreprocTorchAugmentRandomVerticalFlip | Random Vertical Flip Augmentation
PipeOpPreprocTorchAugmentResizedCrop | Resized Crop Augmentation
PipeOpPreprocTorchAugmentRotate | Rotate Augmentation
PipeOpPreprocTorchAugmentVflip | Vertical Flip Augmentation
PipeOpPreprocTorchTrafoAdjustBrightness | Adjust Brightness Transformation
PipeOpPreprocTorchTrafoAdjustGamma | Adjust Gamma Transformation
PipeOpPreprocTorchTrafoAdjustHue | Adjust Hue Transformation
PipeOpPreprocTorchTrafoAdjustSaturation | Adjust Saturation Transformation
PipeOpPreprocTorchTrafoGrayscale | Grayscale Transformation
PipeOpPreprocTorchTrafoNop | No Transformation
PipeOpPreprocTorchTrafoNormalize | Normalization Transformation
PipeOpPreprocTorchTrafoPad | Padding Transformation
PipeOpPreprocTorchTrafoReshape | Reshaping Transformation
PipeOpPreprocTorchTrafoResize | Resizing Transformation
PipeOpPreprocTorchTrafoRgbToGrayscale | RGB to Grayscale Transformation
PipeOpTaskPreprocTorch | Base Class for Lazy Tensor Preprocessing
PipeOpTorch | Base Class for Torch Module Constructor Wrappers
PipeOpTorchAdaptiveAvgPool1D | 1D Adaptive Average Pooling
PipeOpTorchAdaptiveAvgPool2D | 2D Adaptive Average Pooling
PipeOpTorchAdaptiveAvgPool3D | 3D Adaptive Average Pooling
PipeOpTorchAvgPool1D | 1D Average Pooling
PipeOpTorchAvgPool2D | 2D Average Pooling
PipeOpTorchAvgPool3D | 3D Average Pooling
PipeOpTorchBatchNorm1D | 1D Batch Normalization
PipeOpTorchBatchNorm2D | 2D Batch Normalization
PipeOpTorchBatchNorm3D | 3D Batch Normalization
PipeOpTorchBlock | Block Repetition
PipeOpTorchCallbacks | Callback Configuration
PipeOpTorchCELU | CELU Activation Function
PipeOpTorchConv1D | 1D Convolution
PipeOpTorchConv2D | 2D Convolution
PipeOpTorchConv3D | 3D Convolution
PipeOpTorchConvTranspose1D | Transpose 1D Convolution
PipeOpTorchConvTranspose2D | Transpose 2D Convolution
PipeOpTorchConvTranspose3D | Transpose 3D Convolution
PipeOpTorchDropout | Dropout
PipeOpTorchELU | ELU Activation Function
PipeOpTorchFlatten | Flattens a Tensor
PipeOpTorchFn | Custom Function
PipeOpTorchFTCLS | CLS Token for FT-Transformer
PipeOpTorchFTTransformerBlock | Single Transformer Block for the FT-Transformer
PipeOpTorchGeGLU | GeGLU Activation Function
PipeOpTorchGELU | GELU Activation Function
PipeOpTorchGLU | GLU Activation Function
PipeOpTorchHardShrink | Hard Shrink Activation Function
PipeOpTorchHardSigmoid | Hard Sigmoid Activation Function
PipeOpTorchHardTanh | Hard Tanh Activation Function
PipeOpTorchHead | Output Head
PipeOpTorchIdentity | Identity Layer
PipeOpTorchIngress | Entrypoint to Torch Network
PipeOpTorchIngressCategorical | Torch Entry Point for Categorical Features
PipeOpTorchIngressLazyTensor | Ingress for Lazy Tensor
PipeOpTorchIngressNumeric | Torch Entry Point for Numeric Features
PipeOpTorchLayerNorm | Layer Normalization
PipeOpTorchLeakyReLU | Leaky ReLU Activation Function
PipeOpTorchLinear | Linear Layer
PipeOpTorchLogSigmoid | Log Sigmoid Activation Function
PipeOpTorchLoss | Loss Configuration
PipeOpTorchMaxPool1D | 1D Max Pooling
PipeOpTorchMaxPool2D | 2D Max Pooling
PipeOpTorchMaxPool3D | 3D Max Pooling
PipeOpTorchMerge | Merge Operation
PipeOpTorchMergeCat | Merge by Concatenation
PipeOpTorchMergeProd | Merge by Product
PipeOpTorchMergeSum | Merge by Summation
PipeOpTorchModel | PipeOp Torch Model
PipeOpTorchModelClassif | PipeOp Torch Classifier
PipeOpTorchModelRegr | Torch Regression Model
PipeOpTorchOptimizer | Optimizer Configuration
PipeOpTorchPReLU | PReLU Activation Function
PipeOpTorchReGLU | ReGLU Activation Function
PipeOpTorchReLU | ReLU Activation Function
PipeOpTorchReLU6 | ReLU6 Activation Function
PipeOpTorchReshape | Reshape a Tensor
PipeOpTorchRReLU | RReLU Activation Function
PipeOpTorchSELU | SELU Activation Function
PipeOpTorchSigmoid | Sigmoid Activation Function
PipeOpTorchSoftmax | Softmax
PipeOpTorchSoftPlus | SoftPlus Activation Function
PipeOpTorchSoftShrink | Soft Shrink Activation Function
PipeOpTorchSoftSign | SoftSign Activation Function
PipeOpTorchSqueeze | Squeeze a Tensor
PipeOpTorchTanh | Tanh Activation Function
PipeOpTorchTanhShrink | Tanh Shrink Activation Function
PipeOpTorchThreshold | Treshold Activation Function
PipeOpTorchTokenizerCateg | Categorical Tokenizer
PipeOpTorchTokenizerNum | Numeric Tokenizer
PipeOpTorchUnsqueeze | Unqueeze a Tensor
pipeop_preproc_torch | Create Torch Preprocessing PipeOps

## -- S --

Select | Selector Functions for Character Vectors
select_all | Selector Functions for Character Vectors
select_grep | Selector Functions for Character Vectors
select_invert | Selector Functions for Character Vectors
select_name | Selector Functions for Character Vectors
select_none | Selector Functions for Character Vectors

## -- T --

task_dataset | Create a Dataset from a Task
TorchCallback | Torch Callback
TorchDescriptor | Base Class for Torch Descriptors
TorchIngressToken | Torch Ingress Token
TorchLoss | Torch Loss
TorchOptimizer | Torch Optimizer
torch_callback | Create a Callback Descriptor
t_clbk | Sugar Function for Torch Callback
t_clbks | Sugar Function for Torch Callback
t_loss | Loss Function Quick Access
t_losses | Loss Function Quick Access
t_opt | Optimizers Quick Access
t_opts | Optimizers Quick Access