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Maybe it is possible to display the AutoML report as in pandas-profiling package?
https://github.com/pandas-profiling/pandas-profiling
AutoML reports work with Kaggle notebook https://www.kagg…
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Hi. I have a test to check automl.predict_proba(). Up to recently I got the exact same results but not anymore. I only use an XGB ensemble, no stacking, golden features or feature selection. Any i…
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Please add support for more eval metrics.
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[Example of the issue](https://user-images.githubusercontent.com/15890747/110794930-8b509d00-8276-11eb-8cbc-dc80e0d6a945.png)
Currently, depending on the metric a `result` value of `0.6` compared t…
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For details please check https://github.com/mljar/mljar-supervised/discussions/319
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OS: Fedora 33
Python: 3.9
Environment:
![image](https://user-images.githubusercontent.com/4503257/107349564-218e7900-6aa7-11eb-86f8-fd4cac41d1e2.png)
Note: before getting to this state I was h…
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Hi, thanks a lot for the easy-to-use repo @pplonski !!
I had a quick question - can we use the best model `MLJar` creates (say, KNN) then can we get it to output all the exact parameters it used to g…
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Please see discussion https://github.com/mljar/mljar-supervised/issues/113#issuecomment-656437135
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When the encoding of data (such as feature names) does not match the one of the system (for example, when data is encoded with `utf-8` under many Windows systems), additional metrics cannot be saved, …
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I'm trying to install MLJAR AutoML package: [mljar-supervised](https://github.com/mljar/mljar-supervised). In the notebook I have:
```py
!pip install mljar-supervised
```
I got the following e…