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scikit-learn guidelines describe the typical motivation for nested cross-validation. They [say](https://scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html) …
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**Is your feature request related to a problem? Please describe.**
Currently it seems the hyper-parameters of LightGBM models do not exist as attributes in the java object.
When I fit a model
```
…
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I recently stumbled upon the alternative clustering method [`HDBSCAN`](https://github.com/scikit-learn-contrib/hdbscan). They promise the following:
> Performs DBSCAN over varying epsilon values an…
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I've been training for `cubism` style with `500` images (I know I should have around ~3k but there's not enough sample) with `nz=300 ndf=20 ngf=100` (if I make them higher D or G would fixate on 0) an…
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Create a comprehensive documentation explaining the Support Vector Machine (SVM) algorithm. This should cover how SVM works, parameter tuning, and practical use cases with code examples. Contributors …
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The GAN currently generates images that do a decent job detecting anomalous objects. The generated images of smaller objects even pass the Turing test (informally on a small, semi-hand-picked sample s…
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It's great to have tune() methods in some of the model classes (though sadly not all as yet). But they all seem to do tuning via grid search, which is quite wasteful.
Could you possibly add an optio…
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### Describe the feature would like to see added to OpenZFS
OpenZFS should support to spawn kthreads within a cpumask or cgroup.
This would allow to reduce core contention in certain workloads…
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We can use this issue to collect some ideas / findings w.r.t. parameter tuning. E.g. interaction depth, bias/variance .
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It looks like many of the parameters being passed to ENMeval::ENMevaluate by bm_tuning are currently hardcoded:
```
if (model == "MAXENT") { # ------------------------------------------#
…