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HyperBand type of experiments.
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`wandb --version && python --version && uname`
* Weights and Biases version: 0.9.7
* Python version: 3.7.9
* Operating System: Ubuntu 18.04LTS
### Description
Running a sweep using Hyperban…
leopd updated
3 weeks ago
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#### Description
I run hyperband and got the history and trajectory results.
I specify as budget the number of estimators for XGB (simplified example)
In some cases, the final value in trajecto…
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We want to tune all models with hyperband and a fixed time budget that is equal for all models.
This gives us a better comparability.
| Model | Parameters | Budget| Done |
| :--- | …
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/kind feature
The Hyperband implementation in Katib has few problems: https://github.com/kubeflow/katib/issues/1168, https://github.com/kubeflow/katib/issues/690.
We should refactor it since we su…
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[The DEHB paper](https://arxiv.org/abs/2105.09821) says that each SH bracket samples $n = \lceil \frac{s_{\max} + 1}{s + 1} \eta^s \rceil$ configurations; however, [this line](https://github.com/autom…
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Hi,
I was testing whether I could fit a `SymbolicRegressor` up to, say, `1000` generations, see the Pareto front, and then continue training for another `1000` generations. However, it seems that i…
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While the Hyberband and Bayesian tuner are both very good in terms of eventually arriving to a hyperparameter combination, it seems like one of the state of the art hyperparameter tuning methods combi…
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[The BOHB paper](https://arxiv.org/abs/1807.01774) says that each SH bracket samples $n = \lceil \frac{s_{\max} + 1}{s + 1} \eta^s \rceil$ configurations; however, [this line](https://github.com/autom…