mlr3torch
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mlr-org
Deep learning framework for the mlr3 ecosystem based on torch
Relevant PR in pipelines: https://github.com/mlr-org/mlr3pipelines/pull/560/files
Once we have trained a `LearnerTorch`, it is important to have an option to `$continue()` training it. As an example consider the graph learner below: ```r graph = po("pca") %>>%...
* the problem here is that the trained weights do not live in the PipeOpTorch objects * PipeOpTorch should probably keep a link to the nn_module's parameters (torch_tensors have reference...
Repeat a defined block multiple times, while ensuring that all blocks have the same parameters.
this requires them to live in inst/testthat like in mlr3