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 |
DataDescriptor | Data Descriptor |
equals-.lazy_tensor | Compare lazy tensors |
is_lazy_tensor | Check for 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.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_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_pipeopsaugment_center_crop | Center Crop Augmentation |
mlr_pipeopsaugment_color_jitter | Color Jitter Augmentation |
mlr_pipeopsaugment_crop | Crop Augmentation |
mlr_pipeopsaugment_hflip | Horizontal Flip Augmentation |
mlr_pipeopsaugment_random_affine | Random Affine Augmentation |
mlr_pipeopsaugment_random_choice | Random Choice Augmentation |
mlr_pipeopsaugment_random_crop | Random Crop Augmentation |
mlr_pipeopsaugment_random_horizontal_flip | Random Horizontal Flip Augmentation |
mlr_pipeopsaugment_random_order | Random Order Augmentation |
mlr_pipeopsaugment_random_resized_crop | Random Resized Crop Augmentation |
mlr_pipeopsaugment_random_vertical_flip | Random Vertical Flip Augmentation |
mlr_pipeopsaugment_resized_crop | Resized Crop Augmentation |
mlr_pipeopsaugment_rotate | Rotate Augmentation |
mlr_pipeopsaugment_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_pipeopstrafo_adjust_brightness | Adjust Brightness Transformation |
mlr_pipeopstrafo_adjust_gamma | Adjust Gamma Transformation |
mlr_pipeopstrafo_adjust_hue | Adjust Hue Transformation |
mlr_pipeopstrafo_adjust_saturation | Adjust Saturation Transformation |
mlr_pipeopstrafo_grayscale | Grayscale Transformation |
mlr_pipeopstrafo_normalize | Normalization Transformation |
mlr_pipeopstrafo_pad | Padding Transformation |
mlr_pipeopstrafo_resize | Resizing Transformation |
mlr_pipeopstrafo_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_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 |
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 |
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