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best_output_dir being overwritten when training multiple models
See original GitHub issueDescribe the bug
I’m running ClassificationModel() on multiple models to find the best-performing one, and I’m specifying best_model_dir for each of them as model_args["best_model_dir"] = os.path.join("outputs", model_name, "best_model"). However, I only see a single best_model_dir, in one of the directories (I’m specifying output_dir like model_args["output_dir"] = os.path.join("outputs", model_name)).
To Reproduce Mentioned above
Expected behavior
I’m expecting each output_dir to contain its own best_model folder. Or is that incorrect?
Desktop (please complete the following information): OS: Ubuntu 18.04 if it matters (python3 in anaconda in jupyter notebook)
Issue Analytics
- State:
- Created 3 years ago
- Comments:8 (3 by maintainers)
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Thanks, that works! I thought I did the correct thing, but it seems like each time I tried I left out a different parameter. Works now, thanks!
Noted, thanks! That makes sense, I’ll try that 😃