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I sort of referenced this idea in #15 but I figured I'd make it a separate issue since I'm not sure it fits with the intended use of the model directories for your workflow as an NLP guy.
I think it would be possible to avoid copying files altogether, and only creating a directory for the finalized results. this should speed up the process of creating and testing models against each other, because they are all using references to the original files in the data directories, avoiding read writes to the filesystem
The text was updated successfully, but these errors were encountered:
I sort of referenced this idea in #15 but I figured I'd make it a separate issue since I'm not sure it fits with the intended use of the model directories for your workflow as an NLP guy.
I think it would be possible to avoid copying files altogether, and only creating a directory for the finalized results. this should speed up the process of creating and testing models against each other, because they are all using references to the original files in the data directories, avoiding read writes to the filesystem
The text was updated successfully, but these errors were encountered: