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In chapter 1 you mention counterfactuals as equivalent to 0 the initial object.
But they have a lot more structure than 0.
An example taken from the 1973 book
[Counterfactuals](https://www.wiley.c…
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Hi, could you give a guideline for running the code, and how to deal with categorical data?
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here is a simple way to get started:
let's say the only things in our vocabulary are:
- A, B, E
- collided
- and
- not
some rules:
- the faster ball always collided with the slower ba…
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DiCE seems awesome. Thank you for your work on it!
I am trying to use DiCE with XGBoost/LightGBM but I am getting some unexpected behaviour. First and foremost, DiCE seems to "partially ignore" the…
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The counterfactual instances library is working okay when I have only two features in my machine learning but as soon as I try to use it for 4 or more features I keep getting this error
`ValueError:…
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I think we could get pretty far by:
1) Paramaterizing key cruxes around EA.
2) Surveying people, particularly senior EAs, on where they stand on these cruxes.
3) Posting the results publicly.
If…
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### Motivation and description
Maybe this is a more general topic for `MLJ`, not only related to `Flux`. I know that autodiff has been discussed in the past and with `MLJFlux` now being developed, I …
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https://virtual2023.aclweb.org/paper_P3999.html
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I am getting this error when I try to run the code here : https://github.com/interpretml/DiCE
tensorflow vs: 2.9.1
dice-ml vs: 0.8
My full code:
```
import os
import numpy as np
import pa…
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## Why
Machine Learning 輪講は最新の技術や論文を追うことで、エンジニアが「技術で解決できること」のレベルをあげていくことを目的にした会です。
prev. https://github.com/wantedly/machine-learning-round-table/issues/246
## What
話したいことがある人はここにコメントしましょう…