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PipeOpTorchModel should expose fields callbacks, optimizer and loss so they can be changed afterwards #366

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sebffischer opened this issue Mar 21, 2025 · 0 comments

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@sebffischer
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Also requires: mlr-org/mlr3pipelines#888

This would enable:

graph = po("torch_ingress_num") %>>%
  po("nn_head") %>>%
  ...

graph$configure(
  torch_model_classif.callbacks = t_clbk("history")
)
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