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Hello! I did not find a full list of 104 AMLB datasets in the repo (where are they?). When I create `amlb.yaml` manually and fill it with 104 datasets, `runbenchmark.py` yields error:
```
No task …
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### Describe the bug
I tried using `RFECV` with `RandomForestClassifier` in version 1.4.0 on data containing NaNs and got the following error:
```
ValueError: Input contains NaN.
```
This is my…
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**The Bug**
Quick Start code does not compile as-is due to spelling errors and an undefined Option
**To Reproduce**
Steps to reproduce the behavior:
1. Run the [Quick Start](https://docs.rs…
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jdey4 updated
11 months ago
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Users should be able to get datasets returned as [Sparse]DataFrames with named columns in this day and age, for those datasets otherwise providing a Bunch with `feature_names`. This would be controlle…
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Should look into whats wrong and try to add them to the lcdb
This is the current list of datasets used:
3, 6, 11, 12, 14, 15, 16, 18, 22, 23, 28, 29, 31, 32, 37, 38, 44, 50, 54, 151, 182, 188, 300…
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After the first release, the Fedot can be added to https://github.com/openml/automlbenchmark that allow to compare different ML and AutoML methods for classification problems.
The list of currently…
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**1 Describe the bug**
In issue #847 (branch howtos/refactoring) nearly all howtos were moved from ./doc/rtd/... to ./test/howtos (except GT and SL). Also the test script ./test/test_examples.py was …
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### Describe the bug
`TableVectorizer` fails when fitting on dataframes with sparse dtypes.
### Steps/Code to Reproduce
```
from skrub import TableVectorizer
import pandas as pd
df = pd.DataFr…