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Hi,
I'm relatively new to Ax and looking for an answer to a particular use case - For context, we're using a custom implementation of the slurm API to optimize a large model running on AWS Parallel…
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It's common practice to perform some sort of averaging across or within trials. The concept of trials could be implemented with a dictionary of EpochArray's demarcating the trial boundaries?
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Hi, I'm trying to use your Hyperparameter tuner. I set the tuning for 600 runs and 175 epochs, obtaining 53 failed trials. When I tried to load my results using Pickle I found that it failed saving th…
pgm99 updated
2 weeks ago
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Greetings Wenjie,
I was very much impressed aby your work "SAITS". I am trying to create an attention-based model on my own as a part of my Bacholer's project and I have a few questions to ask:
I wa…
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Hi, I want to play with Hyperopt library and generate trials myself with the function
generate_trials_to_calculate. However, I could not import it with the following
script:
from hyperopt.fmin …
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I run your [HEBO custom example](https://github.com/ray-project/tune-sklearn/blob/master/examples/custom_searcher_example.py) and see that it runs the same trials multiple times. Can I skip them and f…
qo4on updated
3 years ago
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Something for the future really.
But would there be the ability to integrate self invite for people to trial the service. Something like 24-48hrs and then it just removes the role and access after…
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I'm interested in using this package to perform a parallel search and then join trials. This is demonstrated [here](https://github.com/hyperopt/hyperopt/issues/495#issuecomment-482624052) in native py…
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In blocks where many trials are needed due to errors (70+), Max will marked a trial as practice and switch to 6 metronome ticks.
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For some reason, it appears to happen that some trials go missing in action. This then means that some participants have to be excluded from pre-processing even though they completed the experiment. N…