pyreal
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An easier approach to using and understanding ML models
Bumps [lightgbm](https://github.com/microsoft/LightGBM) from 3.3.5 to 4.1.0. Release notes Sourced from lightgbm's releases. v4.1.0 Changes 💡 New Features Treat position bias via GAM in LambdaMART @metpavel (#5929) 🐛 Bug Fixes Fix...
Counterfactual explanations are a popular and very useful way of explaining an ML model prediction. To start, we should implement a basic optimization approach, with the potential to expand into...
It seems that unit tests are not thoroughly testing that the values in returned explanations correctly correspond to the explanations. This functionality should be added.
With the new refactor logic in progress, it is becoming clear that having very simple GlobalExplainer and LocalExplainer base classes would be helpful, to separate between produce functions that take...
Bumps [flake8](https://github.com/pycqa/flake8) from 5.0.4 to 6.1.0. Commits 7ef0350 Release 6.1.0 354f873 Merge pull request #1852 from PyCQA/setup-cfg-fmt 24be8ad Merge pull request #1851 from PyCQA/pylint-warnings 5233d88 use setup-cfg-fmt d4d1552 Merge pull...
Right now, visualizing different explanation types requires calling completely different functions, often with totally different parameters. `plot_tree`, for example, take an explainer, while` plot_top_contributors` takes an explanation. For this issue,...
Currently, `plot_top_contributors` can only plot a single entities' features or contributions. We should offer a few more options when multiple entities are fed in, as chosen by a parameter argument:...
A number of warnings have started appearing with unit tests, we should remove those.
Pyreal's `__init__.py` files should be cleaned up to ensure everything is accessible as intended.
The Transformers are not fully integrated with PDP explainers yet. We need to track the feature names before and after transforming data to support this feature.