| mlr3torch-package | mlr3torch: Deep Learning with 'mlr3' | 
| 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 | 
| batchgetter_categ | Batchgetter for Categorical data | 
| batchgetter_num | Batchgetter for Numeric Data | 
| CallbackSet | Base Class for Callbacks | 
| CallbackSetCheckpoint | Checkpoint Callback | 
| CallbackSetHistory | History Callback | 
| CallbackSetLRScheduler | Learning Rate Scheduling Callback | 
| 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 | 
| DataBackendLazy | Lazy Data Backend | 
| DataDescriptor | Data Descriptor | 
| is_lazy_tensor | Check for lazy tensor | 
| lazy_tensor | Create a lazy tensor | 
| LearnerTorch | Base Class for Torch Learners | 
| LearnerTorchFeatureless | Featureless Torch Learner | 
| LearnerTorchImage | Image Learner | 
| LearnerTorchMLP | My Little Pony | 
| LearnerTorchModel | Learner Torch Model | 
| LearnerTorchTabResNet | Tabular ResNet | 
| LearnerTorchVision | AlexNet Image Classifier | 
| 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.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.mlp | My Little Pony | 
| 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_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_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_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_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 | 
| nn | Create a Neural Network Layer | 
| 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_reshape | Reshape | 
| nn_squeeze | Squeeze | 
| nn_unsqueeze | Unsqueeze | 
| 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 | 
| 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 | 
| 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 | 
| 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 | 
| PipeOpTorchUnsqueeze | Unqueeze a Tensor | 
| pipeop_preproc_torch | Create Torch Preprocessing PipeOps | 
| 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 | 
| 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 |