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Just like scikit-learn offers datasets that make it easy for people to play around, it would be nice if this package also offers datasets where fairness is a theme. Over at scikit-fairness we've got a…
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What do you see as the purpose or future of FairLearn with AIF360 gaining support? Advantages, disadvantages and the like.
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F# has this (rather unfortunate and frustrating, I agree!) "feature": `float` is **the same** as `double` aka `float64`; real analog to `float` from other languages would be `float32`.
I was able t…
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#### Issue description
Description of the issue - include code snippets and screenshots here
if relevant. You may use the following template below
* *Expected behavior:* (What you expect to hap…
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Possible items of biomedical relevance (not an exhaustive search)
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I have a broad range of research interests in reinforcement learning, natural language processing, and computer vision. The consistent theme of my research is to ask novel questions and to bring into …
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A good sample problem that highlights the need for multi-objective optimization is optimizing machine learning models for accuracy as well as multiple definitions of fairness (see [AIF360](https://git…
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hello, thanks for sharing! 👍
The quick start doesn't work for me:
```
Traceback (most recent call last):
File "examples/lending_demo.py", line 26, in
from agents import threshold_polici…
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arXiv论文跟踪
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Hello,
Wondering if TCAV can be used with
tabular sparse input data ?
Or do we need to include embedding ?