model_descriptor_to_learner: Create a Torch Learner from a ModelDescriptor

In mlr3torch: Deep Learning with 'mlr3'

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()

mlr3torch documentation built on Aug. 26, 2025, 5:09 p.m.