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Dear authors,
Apologies for the opening of too many issues already, unfortunately, there is another query I have regarding the method. I would be grateful for your response.
For the evaluation…
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### 🐛 Bug
I am developing a custom Feature Extractor Type (based on DeepSets) for SB3 and want to train + optimize it with sb3_zoo. For it I add the following to a custom config.py file:
```pyth…
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Is there a way to have a hierarchicaly structured configuration space such include arrays or dicts of scalar variables?
For example to group say 5 float hyperparameters in a single array variable?
mhlr updated
3 months ago
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### Description
I would greatly appreciate being able to access the best-fitted ARIMA model from AutoARIMA.
It is a common use case to optimize the model hyperparameters on one period and then f…
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I'm now learning machine learning using the Japanese translation of this book, and when I run this program, I always get stuck on the part using sklearn.svm.
When the program do the part"gs=gs.fit(…
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If users want to extract the hyperparameters that were used for a run, they can do this:
```r
run = getOMLRun(2387921)
getOMLRunParList(run)
```
which returns only the hyperparameters that we…
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Hi,
I was wondering if you could provide the code how you trained the surrogate models?
This is important to understand how the search space encoding influences the surrogate model.
As far as I un…
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If you run with
```
litgpt finetune ...
```
and when getting to saving a checkpoint, we hit this line:
https://github.com/Lightning-AI/litgpt/blob/f951f9334610da35c7ecaa7e26e7ba3ac2504dab/litg…
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Behavior of `TimeSeriesPredictor` should be aligned with `TabularPredictor` when unknown HPs are passed via the `hyperparameters` kwarg of the `fit` method.
### Discussed in https://github.com/auto…
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Hi Viewer,
I am performing predictions using both `XGBoost` and `Random Forest` models on a dataset, but I consistently observe that the Random Forest model achieves better `R²` scores and `correla…