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Model Comparison #184
Model Comparison #184
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adds workflows, restructures workflow inheritance, adds smart defaults for training parameters
also add preliminary batch_size auto search
- no longer accidentally usable as a class or constructor - now correctly recognizes subclasses of backend-specific Tensors as valid types (e.g. torch.IntTensor) - cleaned up namespace in bayesflow.types
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## streamlined-backend #184 +/- ##
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Hits ? 1502
Misses ? 1030
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but we might not need this, testing shows that compiled mode OT is faster at runtime. Perhaps we should jit compile this?
This branch implements:
streamlined-backend
3.1. These are now moved into the datasets, allowing this code to be run in a worker process
There are some drawbacks:
This got much bigger than I had anticipated originally, so please just take a general look in your reviews and we can set a meeting to discuss in more detail 😄