Create a Torch Learner from a ModelDescriptor
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.
nn_graph
model_descriptor_to_module
model_descriptor_to_learner(model_descriptor)
model_descriptor: (ModelDescriptor)
model_descriptor
ModelDescriptor
The model descriptor.
Learner
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()
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()
Useful links