Function reference • mlr3torch

All functions

DataDescriptor: Data Descriptor

ModelDescriptor(): Represent a Model with Meta-Info

mlr_pipeops_preproc_torch.augment_center_crop PipeOpPreprocTorchAugmentCenterCrop: PipeOpPreprocTorchAugmentCenterCrop

mlr_pipeops_preproc_torch.augment_color_jitter PipeOpPreprocTorchAugmentColorJitter: PipeOpPreprocTorchAugmentColorJitter

mlr_pipeops_preproc_torch.augment_crop PipeOpPreprocTorchAugmentCrop: PipeOpPreprocTorchAugmentCrop

mlr_pipeops_preproc_torch.augment_hflip PipeOpPreprocTorchAugmentHflip: PipeOpPreprocTorchAugmentHflip

mlr_pipeops_preproc_torch.augment_random_affine PipeOpPreprocTorchAugmentRandomAffine: PipeOpPreprocTorchAugmentRandomAffine

mlr_pipeops_preproc_torch.augment_random_apply PipeOpPreprocTorchAugmentRandomApply: PipeOpPreprocTorchAugmentRandomApply

mlr_pipeops_preproc_torch.augment_random_choice PipeOpPreprocTorchAugmentRandomChoice: PipeOpPreprocTorchAugmentRandomChoice

mlr_pipeops_preproc_torch.augment_random_crop PipeOpPreprocTorchAugmentRandomCrop: PipeOpPreprocTorchAugmentRandomCrop

mlr_pipeops_preproc_torch.augment_random_horizontal_flip PipeOpPreprocTorchAugmentRandomHorizontalFlip: PipeOpPreprocTorchAugmentRandomHorizontalFlip

mlr_pipeops_preproc_torch.augment_random_order PipeOpPreprocTorchAugmentRandomOrder: PipeOpPreprocTorchAugmentRandomOrder

mlr_pipeops_preproc_torch.augment_random_resized_crop PipeOpPreprocTorchAugmentRandomResizedCrop: PipeOpPreprocTorchAugmentRandomResizedCrop

mlr_pipeops_preproc_torch.augment_random_vertical_flip PipeOpPreprocTorchAugmentRandomVerticalFlip: PipeOpPreprocTorchAugmentRandomVerticalFlip

mlr_pipeops_preproc_torch.augment_resized_crop PipeOpPreprocTorchAugmentResizedCrop: PipeOpPreprocTorchAugmentResizedCrop

mlr_pipeops_preproc_torch.augment_rotate PipeOpPreprocTorchAugmentRotate: PipeOpPreprocTorchAugmentRotate

mlr_pipeops_preproc_torch.augment_vflip PipeOpPreprocTorchAugmentVflip: PipeOpPreprocTorchAugmentVflip

mlr_pipeops_preproc_torch.trafo_adjust_brightness PipeOpPreprocTorchTrafoAdjustBrightness: PipeOpPreprocTorchTrafoAdjustBrightness

mlr_pipeops_preproc_torch.trafo_adjust_gamma PipeOpPreprocTorchTrafoAdjustGamma: PipeOpPreprocTorchTrafoAdjustGamma

mlr_pipeops_preproc_torch.trafo_adjust_hue PipeOpPreprocTorchTrafoAdjustHue: PipeOpPreprocTorchTrafoAdjustHue

mlr_pipeops_preproc_torch.trafo_adjust_saturation PipeOpPreprocTorchTrafoAdjustSaturation: PipeOpPreprocTorchTrafoAdjustSaturation

mlr_pipeops_preproc_torch.trafo_grayscale PipeOpPreprocTorchTrafoGrayscale: PipeOpPreprocTorchTrafoGrayscale

mlr_pipeops_preproc_torch.trafo_nop PipeOpPreprocTorchTrafoNop: PipeOpPreprocTorchTrafoNop

mlr_pipeops_preproc_torch.trafo_normalize PipeOpPreprocTorchTrafoNormalize: PipeOpPreprocTorchTrafoNormalize

mlr_pipeops_preproc_torch.trafo_pad PipeOpPreprocTorchTrafoPad: PipeOpPreprocTorchTrafoPad

mlr_pipeops_preproc_torch.trafo_resize PipeOpPreprocTorchTrafoResize: PipeOpPreprocTorchTrafoResize

mlr_pipeops_preproc_torch.trafo_rgb_to_grayscale PipeOpPreprocTorchTrafoRgbToGrayscale: PipeOpPreprocTorchTrafoRgbToGrayscale

mlr_pipeops_preproc_torch.trafo_scale PipeOpPreprocTorchTrafoScale: PipeOpPreprocTorchTrafoNop

TorchCallback: Torch Callback

TorchDescriptor: Base Class for Torch Descriptors

TorchIngressToken(): Torch Ingress Token

TorchLoss: Torch Loss

TorchOptimizer: Torch Optimizer

as_data_descriptor(): Convert to Data Descriptor

as_lazy_tensor(): Convert to 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

assert_lazy_tensor(): Assert Lazy Tensor

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

`==`(<lazy_tensor>): Compare lazy tensors

hash_input(<lazy_tensor>): Hash Input for Lazy Tensor

is_lazy_tensor(): Check for lazy tensor

lazy_tensor(): Create a lazy tensor

materialize(): Materialize Lazy Tensor Columns

mlr3torch mlr3torch-package: mlr3torch: Deep Learning for 'mlr3'

mlr3torch_callbacks: Dictionary of Torch Callbacks

mlr3torch_losses: Loss Functions

mlr3torch_optimizers: Optimizers

mlr_backends_lazy DataBackendLazy: Lazy Data Backend

mlr_callback_set CallbackSet: Base Class for Callbacks

mlr_callback_set.checkpoint CallbackSetCheckpoint: Checkpoint Callback

mlr_callback_set.history CallbackSetHistory: History Callback

mlr_callback_set.progress CallbackSetProgress: Progress Callback

mlr_context_torch ContextTorch: Context for Torch Learner

mlr_learners.alexnet LearnerTorchAlexNet: AlexNet Image Classifier

mlr_learners.mlp LearnerTorchMLP: My Little Pony

mlr_learners.torch_featureless LearnerTorchFeatureless: Featureless Torch Learner

mlr_learners_torch LearnerTorch: Base Class for Torch Learners

mlr_learners_torch_image LearnerTorchImage: Image Learner

mlr_learners_torch_model LearnerTorchModel: Learner Torch Model

mlr_pipeops_module PipeOpModule: Class for Torch Module Wrappers

mlr_pipeops_nn_avg_pool1d PipeOpTorchAvgPool1D: 1D Average Pooling

mlr_pipeops_nn_avg_pool2d PipeOpTorchAvgPool2D: 2D Average Pooling

mlr_pipeops_nn_avg_pool3d PipeOpTorchAvgPool3D: 3D Average Pooling

mlr_pipeops_nn_batch_norm1d PipeOpTorchBatchNorm1D: 1D Batch Normalization

mlr_pipeops_nn_batch_norm2d PipeOpTorchBatchNorm2D: 2D Batch Normalization

mlr_pipeops_nn_batch_norm3d PipeOpTorchBatchNorm3D: 3D Batch Normalization

mlr_pipeops_nn_celu PipeOpTorchCELU: CELU Activation Function

mlr_pipeops_nn_conv1d PipeOpTorchConv1D: 1D Convolution

mlr_pipeops_nn_conv2d PipeOpTorchConv2D: 2D Convolution

mlr_pipeops_nn_conv3d PipeOpTorchConv3D: 3D Convolution

mlr_pipeops_nn_conv_transpose1d PipeOpTorchConvTranspose1D: Transpose 1D Convolution

mlr_pipeops_nn_conv_transpose2d PipeOpTorchConvTranspose2D: Transpose 2D Convolution

mlr_pipeops_nn_conv_transpose3d PipeOpTorchConvTranspose3D: Transpose 3D Convolution

mlr_pipeops_nn_dropout PipeOpTorchDropout: Dropout

mlr_pipeops_nn_elu PipeOpTorchELU: ELU Activation Function

mlr_pipeops_nn_flatten PipeOpTorchFlatten: Flattens a Tensor

mlr_pipeops_nn_gelu PipeOpTorchGELU: GELU Activation Function

mlr_pipeops_nn_glu PipeOpTorchGLU: GLU Activation Function

mlr_pipeops_nn_hardshrink PipeOpTorchHardShrink: Hard Shrink Activation Function

mlr_pipeops_nn_hardsigmoid PipeOpTorchHardSigmoid: Hard Sigmoid Activation Function

mlr_pipeops_nn_hardtanh PipeOpTorchHardTanh: Hard Tanh Activation Function

mlr_pipeops_nn_head PipeOpTorchHead: Output Head

mlr_pipeops_nn_layer_norm PipeOpTorchLayerNorm: Layer Normalization

mlr_pipeops_nn_leaky_relu PipeOpTorchLeakyReLU: Leaky ReLU Activation Function

mlr_pipeops_nn_linear PipeOpTorchLinear: Linear Layer

mlr_pipeops_nn_log_sigmoid PipeOpTorchLogSigmoid: Log Sigmoid Activation Function

mlr_pipeops_nn_max_pool1d PipeOpTorchMaxPool1D: 1D Max Pooling

mlr_pipeops_nn_max_pool2d PipeOpTorchMaxPool2D: 2D Max Pooling

mlr_pipeops_nn_max_pool3d PipeOpTorchMaxPool3D: 3D Max Pooling

mlr_pipeops_nn_merge PipeOpTorchMerge: Merge Operation

mlr_pipeops_nn_merge_cat PipeOpTorchMergeCat: Merge by Concatenation

mlr_pipeops_nn_merge_prod PipeOpTorchMergeProd: Merge by Product

mlr_pipeops_nn_merge_sum PipeOpTorchMergeSum: Merge by Summation

mlr_pipeops_nn_prelu PipeOpTorchPReLU: PReLU Activation Function

mlr_pipeops_nn_relu PipeOpTorchReLU: ReLU Activation Function

mlr_pipeops_nn_relu6 PipeOpTorchReLU6: ReLU6 Activation Function

mlr_pipeops_nn_reshape PipeOpTorchReshape: Reshape a Tensor

mlr_pipeops_nn_rrelu PipeOpTorchRReLU: RReLU Activation Function

mlr_pipeops_nn_selu PipeOpTorchSELU: SELU Activation Function

mlr_pipeops_nn_sigmoid PipeOpTorchSigmoid: Sigmoid Activation Function

mlr_pipeops_nn_softmax PipeOpTorchSoftmax: Softmax

mlr_pipeops_nn_softplus PipeOpTorchSoftPlus: SoftPlus Activation Function

mlr_pipeops_nn_softshrink PipeOpTorchSoftShrink: Soft Shrink Activation Function

mlr_pipeops_nn_softsign PipeOpTorchSoftSign: SoftSign Activation Function

mlr_pipeops_nn_squeeze PipeOpTorchSqueeze PipeOpTorchUnsqueeze: Squeeze a Tensor

mlr_pipeops_nn_tanh PipeOpTorchTanh: Tanh Activation Function

mlr_pipeops_nn_tanhshrink PipeOpTorchTanhShrink: Tanh Shrink Activation Function

mlr_pipeops_nn_threshold PipeOpTorchThreshold: Treshold Activation Function

mlr_pipeops_preproc_torch PipeOpTaskPreprocTorch: Base Class for Lazy Tensor Preprocessing

mlr_pipeops_torch PipeOpTorch: Base Class for Torch Module Constructor Wrappers

mlr_pipeops_torch_callbacks PipeOpTorchCallbacks: Callback Configuration

mlr_pipeops_torch_ingress PipeOpTorchIngress: Entrypoint to Torch Network

mlr_pipeops_torch_ingress_categ PipeOpTorchIngressCategorical: Torch Entry Point for Categorical Features

mlr_pipeops_torch_ingress_ltnsr PipeOpTorchIngressLazyTensor: Ingress for Lazy Tensor

mlr_pipeops_torch_ingress_num PipeOpTorchIngressNumeric: Torch Entry Point for Numeric Features

mlr_pipeops_torch_loss PipeOpTorchLoss: Loss Configuration

mlr_pipeops_torch_model PipeOpTorchModel: PipeOp Torch Model

mlr_pipeops_torch_model_classif PipeOpTorchModelClassif: PipeOp Torch Classifier

mlr_pipeops_torch_model_regr PipeOpTorchModelRegr: Torch Regression Model

mlr_pipeops_torch_optimizer PipeOpTorchOptimizer: Optimizer Configuration

mlr_resamplings_row_roles ResamplingRowRoles: Resampling Using Row Roles

mlr_tasks_lazy_iris: Iris Classification Task

mlr_tasks_mnist: MNIST Image classification

mlr_tasks_tiny_imagenet: Tiny ImageNet Classification Task

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_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

reset_last_layer(): Reset a classification models last layer

t_clbk() t_clbks(): Sugar Function for Torch Callback

t_loss() t_losses(): Loss Function Quick Access

t_opt() t_opts(): Optimizers Quick Access

task_dataset(): Create a Dataset from a Task

torch_callback(): Create a Callback Desctiptor