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## Description
Cannot use the `slideflow.Dataset.kfold_split()` method using the conda environment created with the `environment.yml` file. pyomo/bonmin are needed and cannot be installed in the envi…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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**Description**
wandb.init() hanging in the `multiprocessing.Process()` while the sweep
**Wandb features**
* [wandb Cross-Validation example](https://github.com/wandb/examples/tree/master/example…
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We just disabled warnings on travis in #9840.
I don't think we should do that. I've been a bit absent lately, but I think the current state of the warnings is pretty bad. Many of these seem recent ch…
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The problem I want to use auto-sklearn on is a time-series. Can we modify sklearn to include cv with time series?
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Any idea on how I can do cross validation (like KFold) using KAN model?
Thanks
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Dear Nicholas,
I have just receive the following error:
predictionMetrics
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In `cv_varsel.refmodel()`, the observation-specific weights are hard-coded to be all equal (line https://github.com/stan-dev/projpred/blob/0cabd73548eec32e9b675f15cd39d377a40f180a/R/cv_varsel.R#L221 )…
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Basically combining `TimeSeriesSplit` with the `Group` awareness of other CV strategies such as `GroupKFold`.
I think it's a good first issue for first time contributors that are already familiar w…
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### Describe the bug
Calling `CalibratedClassifierCV()` with `cv=KFold(n_samples=n)` (where n is the number of samples) can give different results than using `cv=LeaveOneOut()`, but the docs for `L…