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The `inprocessing` algorithms are basically like an `Estimator`. Ideally, it should be possible to replace a classifier in a scikit-learn pipeline, with one from aif360. An example pipeline (taken fro…
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# Duck Hunt Game
## Project Overview
Duck Hunt is a classic shooting game where players aim to hit flying ducks within a limited time. The objective is to shoot as many ducks as possible before ti…
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`GameControllerScript.cs` (https://github.com/Egocentric-Interaction-Research-Group/cARcassonne/blob/develop/Assets/Scripts/Carcassonne/GameControllerScript.cs) is a bit of a mess.
Tasks:
1. Doc…
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The input data for LDAs and GGAs can be evaluated faster with the help of Coulomb fitting.
First, instead of evaluating the density in the orbital basis
$$ n({\bf r}) = \sum_{\mu \nu} P_{\mu \nu…
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Hi
It seems unclear what is the reason for creating 20 random values `ns = np.linspace(0, n_max, 20).astype(int)` to determine the number of labelled data used to calculate the PPI, but in the en…
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The current stringify-then-regex-extract approach is kind of horrifying. ~I must have been on a regex kick when I wrote it.~ But, it was the best way I could think of at the time to retain each object…
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In the Python `rdkit.ML.Scoring.Scoring` module, the `CalcROC()` and `CalcAUC()` functions return incorrect results when multiple inputs have the same score. The correct behavior would be to consider…
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### User Story
As a challenge manager, in order to inform what evaluators should evaluate the submissions on, I would like to setup evaluation criteria.
**Acceptance criteria:**
- [x] A challenge m…
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It is very hard to debug `score()`, or rather debug a failing scoring rule for several reasons:
- any error in a scoring rule is converted into a warning and `score()` just continues. I think this i…
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this is a placeholder for more specific issues to be created in the future
requirements:
1. efficiently use arbitrary data provided a query time to alter scoring (think JSON user context)
2. abilit…