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## Motivation
Currently, [Katib](https://github.com/kubeflow/katib) is limited to supporting only uniform distribution for integer, float, and categorical hyperparameters. By introducing additional d…
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# Description
## Bug
If the score computation associated to a trial of hyperparameter tuning takes too long, the patience of `BayesOptSearch` saturates because of duplicated configurations.
Thi…
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I run nosetests under test directory and I got the following error, I'm using python 3.4.3, Theano (0.10.0b1), DIRECT (1.0.1), cma (2.2.0):
..............DIRECT Version 2.0.4
Problem Dimension n…
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### Motivation
In solving multi-objective hyperparameter optimization , the pareto front solution will be the output.
In order to select the optimal solution among the paretos, multi-criteria decisi…
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Is there a way to implement the Bayesian Optimization method of hyperparameter tuning in the (R-based) PLP pipeline?
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We should develop a hyperparameter optimization scheme using our Gaussian Process regression. The following links may provide some motivation/inspiration:
- https://www.mathworks.com/help/stats/ba…
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Hello,I have read your paper "EFFICIENT HYPERPARAMETER OPTIMIZATION WITH ADAPTIVE FIDELITY IDENTIFICATION" and found the compressed package of your code online. May I ask why you didn't put the code o…
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**Bug Report Checklist**
- [x] I have provided code that demonstrates a minimal reproducible example.
- [x] I have confirmed the bug exists on the latest mainline of AutoGluon via a source install…
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### Issue description
We can share experiences and discuss the problems encountered during HPO in this issue.
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The Scikit-optimize `BayesSearchCV` class likely has internal functions that help it determine new parameters given scores on a set of older parameters. It would be useful to either introduce Dask to…