Man pages for mlr3torch
Deep Learning with 'mlr3'

as_data_descriptor	Convert to Data Descriptor
as_lazy_tensor	Convert to Lazy Tensor
as_lr_scheduler	Convert to CallbackSetLRScheduler
assert_lazy_tensor	Assert Lazy Tensor
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
batchgetter_categ	Batchgetter for Categorical data
batchgetter_num	Batchgetter for Numeric Data
callback_set	Create a Set of Callbacks for Torch
cross_entropy	Cross Entropy Loss
DataDescriptor	Data Descriptor
equals-.lazy_tensor	Compare lazy tensors
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
lazy_shape	Shape of Lazy Tensor
lazy_tensor	Create a lazy tensor
materialize	Materialize Lazy Tensor Columns
materialize_internal	Materialize a Lazy Tensor
mlr3torch_callbacks	Dictionary of Torch Callbacks
mlr3torch_losses	Loss Functions
mlr3torch_optimizers	Optimizers
mlr3torch-package	mlr3torch: Deep Learning with 'mlr3'
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_torch	Base Class for Torch Learners
mlr_learners.torch_featureless	Featureless Torch Learner
mlr_learners_torch_image	Image Learner
mlr_learners_torch_model	Learner Torch Model
mlr_learners.torchvision	AlexNet Image Classifier
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_normalize	Normalization Transformation
mlr_pipeops_trafo_pad	Padding 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_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
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
output_dim_for	Network Output Dimension
pipeop_preproc_torch	Create Torch Preprocessing PipeOps
PipeOpPreprocTorchTrafoNop	No Transformation
PipeOpPreprocTorchTrafoReshape	Reshaping Transformation
replace_head	Replace the head of a network Replaces the head of the...
Select	Selector Functions for Character Vectors
task_dataset	Create a Dataset from a Task
t_clbk	Sugar Function for Torch Callback
t_loss	Loss Function Quick Access
t_opt	Optimizers Quick Access
torch_callback	Create a Callback Descriptor
TorchCallback	Torch Callback
TorchDescriptor	Base Class for Torch Descriptors
TorchIngressToken	Torch Ingress Token
TorchLoss	Torch Loss
TorchOptimizer	Torch Optimizer