model_descriptor_to_learner {mlr3torch}R Documentation

Create a Torch Learner from a ModelDescriptor

Description

First a nn_graph is created using model_descriptor_to_module and then a learner is created from this module and the remaining information from the model descriptor, which must include the optimizer and loss function and optionally callbacks.

Usage

model_descriptor_to_learner(model_descriptor)

Arguments

model_descriptor

(ModelDescriptor)
The model descriptor.

Value

Learner

See Also

Other Graph Network: ModelDescriptor(), TorchIngressToken(), mlr_learners_torch_model, mlr_pipeops_module, mlr_pipeops_torch, mlr_pipeops_torch_ingress, mlr_pipeops_torch_ingress_categ, mlr_pipeops_torch_ingress_ltnsr, mlr_pipeops_torch_ingress_num, model_descriptor_to_module(), model_descriptor_union(), nn_graph()


[Package mlr3torch version 0.1.0 Index]