Comments (3)
Hi, is this for Bayesian Optimization?
Unfortunately there is no way to abort an autorun right now other than force quitting the Xcessiv server through CTRL+C.
As for investigating the errors, not sure what you mean but the run should stop immediately when an exception is raised and you'll be able to see the error message itself. Don't worry about losing info when deleting autoruns, as the base learners created by the autorun will not be deleted.
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I was trying lightgbm and getting 0.9999 R-squared for all runs so I suspect something was wrong and wanted to pauce the Bayes opt to check
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I see. Well unfortunately pausing an autorun in the middle of executing is a bit difficult in the current implementation so there really isn't a way to do that right now.
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Related Issues (20)
- networking on docker HOT 1
- Cancel/clear queued base learners HOT 2
- Add a docker-compose to simplify Xcessiv startup with Redis
- Memory management HOT 3
- The _BasePipeline in exported Python script should be _BaseComposition HOT 1
- That's amazing! congrats man!
- Add train and test error HOT 1
- Error when fitting exported ensemble HOT 2
- Presets for choosing base_learners to create stacked ensembles
- Error with tuple hyperparameters HOT 2
- Base Learner Correlation Matrix
- Leave a python terminal/notebook for debugging
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- How to deal with large amounts of data? HOT 1
- Support Redis Passwords HOT 1
- ImportError: No module named wsgi HOT 2
- Feature Request - Backup .db file
- xcessiv server
- How to import homemade modules in Xcessiv?
- redis.exceptions.DataError at xcessiv launch
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