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Currently a lot of the tests are integration tests with the test server, which makes them rely on internet and run veeeery slowly.
Maybe we should add more mocking to allow for local tests and run the…
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### Describe the issue linked to the documentation
Some of the metrices in #2805 were implemented in #7739.
### Suggest a potential alternative/fix
It would be nice to add (to) an example the usage…
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### Problem
Hello,
I'm using the ExponentiatedGradient to perform mitigations on a Catboost classifier. Each time I run the `fit` and obtain the MetricsFrame for my sensitive features, I get diff…
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Given the current functionality:
```
python runbenchmark.py {framework}:latest
```
which is equivalent to building from source from the master branch,
I'd like to be able to do:
```
# U…
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Encountered this today, the (old) fixed numpy versions can not be installed on my M1 Mac. After failing to install the dependencies, the script carries on and simply reports a missing results with err…
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Ideally this should be implemented as a separate library and consumed in Webnative.
The plan is to explore this as a Rust library.
Related to #337
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* How much better/worse is this model compared to the average/best performing one?
* How well does this algorithm perform not only on this dataset, but on average on all similar datasets?
*...
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Most scientific packages already have `Py3.7+` releases or are talking about it ([NEP 29](https://numpy.org/neps/nep-0029-deprecation_policy.html#support-table), [scikit-learn issue](https://github.co…
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[LassoLars](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLars.html?highlight=lassolars#sklearn.linear_model.LassoLars) can be quite imprecise at low regularization value…
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Several datasets do not have a specific target. Also, multitask datasets do not have a single target, which complicates the calculation of meta-features such as: classcount, entropy, landmarkers and m…