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Hi đź‘‹
in the documentation says `boruta` implements all scikit-learn ensemble methods, but it doesn't work with `HistGradientBoostingClassifier`. Other methods described [on the ensemble documentati…
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### Bug Description
Similar to this: https://github.com/keras-team/autokeras/issues/554
Training stops in AutoModel for image binary classification.
Traceback (most recent call last):
File "",…
ghost updated
3 years ago
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I’m using 2.0.
My [dataset](https://www.kaggle.com/competitions/home-credit-default-risk/data?select=application_train.csv) shape is 307511, 122. Of the 122 features, 106 are numerical, and 16 are …
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We have a few tests (naive bayes certainly) that use sklearn datasets that are auto-downloaded. We've seen these downloads time out recently and fail CI, so they present a chance for a flaky test. We …
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# Short Question Description
Hello,
thanks for developing autosklearn!
I'm trying it and I have a question.
I would like to ask if autosklearn supports to resume training from a preceding run…
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Machine object should return a reference to themselves (like in sklearn)
```cpp
auto machine = pipeline->over(std::make_shared())
->composite()
…
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# Short Question Description
I've downloaded auto-sklearn 0.15.0, and have been reading the paper on version 2.0, but I can't find a regressor -- is it just the autosklearn.regression.AutoSklearnRegr…
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... as produced by `model_profile` either by marking off variable deciles at the bottom of each plot the way `sklearn` does it e.g. (https://scikit-learn.org/stable/auto_examples/inspection/plot_parti…
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Tamdon, when I look at your code you may make it a bit too complicated.
a) scikt learn has svm for classification, regression, and outlier detection
b) it is only necessary to implement the svm u…
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It seems that we don't handle it properly `pd.NA` in the encoder and thus differently than `np.nan`.
`pd.NA` will raise an error as in the following reproducible:
```python
df = pd.DataFrame({"co…