12 lines
738 B
Markdown
12 lines
738 B
Markdown
# Long-term
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- Implement a dataloader in-house, with a clear, lightweight mechanism for
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collection-of-structures to structure-of-collections. For multi-proc handling
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(happens in torch's dataloader, as well as the BatchedDataset for two
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different purposes), we should rely on (a hopefully more stable) `execlib`.
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- `Domains` may be externalized (`co3` or `convlib`)
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- Up next: CLI, fully JSON-ification of model selection + train.
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- Consider a "multi-train" alternative (or arg support in `train()`) for
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training many "rollouts" from the same base estimator (basically forks under
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different seeds). For architecture benchmarking above all, seeing average
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training behavior. Consider corresponding `Plotter` methods (error bars)
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