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When running a hyperparameter scan, the memory grows proportional to the number of trials.
This smells like a memory leak, since from one trial to the next virtually all information can be safely d…
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Hi,
Thank you for a great work!
I have a question.
Sometimes we need to define search space for several classifiers.
They may have some common parameter like `l1`, `dropout`, etc.
Is it possible …
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This is continuation of a discussion started in \#348, where I promised to summarise my thoughts on what could be cleaned up in the current codebase to hopefully make it easier for everyone.
Prefac…
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After https://github.com/qiboteam/qibo/issues/1231#issuecomment-1968367678 I reviewed the state of `hyperopt`, and it's definitely unmaintained. The authors are not replying to the issues, and the con…
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Hi,
I just found your work, and that seem really good.
Maybe you can work for integrate your Signal system as hyperopt in freqtrade, you maybe not lost more time in Trader part and you will help f…
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I am starting the implementation of @juanrojochacon's hyperopt algorithm wherein data of 1/$`\varphi^{2}`$ is used to decide on the best $`\chi^{2}`$ hyperpoint.
I realized that all data needed are…
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Hello Illyas,
thanks for the course,
I hope you are doing well and BA is keeping you on your toes.
Listen, based on your videos I was able to reproduce 2 files.
1)Strategy
2)HyperOpt
however I…
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I am observing some strange behavior running hyperopt-mongo-workers (although it could easily be due to a misunderstanding of how it works). I have an objective function that has a sharp boundary. Wha…
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I created a small script that gets the parameters from a trial and creates a runcard from that [here](https://github.com/LHC-NLeSC/nnpdf-scripts/blob/main/hyperopt-final/create_trial_runcard.py) (wher…
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I would suggest to expose the tuners as `sklearn` compatible tuning wrappers, e.g.,
`HyperactiveCV(sklearn_estimator, config)`,
or
`HyperactiveCV(sklearn_estimator, hyperopt_tuning_algo, conf…