Comments (5)
connortann
commented on June 27, 2024
1
@CloseChoice FYI, once we get these last items in I think we're good to make a release!
from shap.
CloseChoice
commented on June 27, 2024
1
No objections from my side. Let's go ahead.
from shap.
CloseChoice
commented on June 27, 2024
1
Done 🎉 Let me know if you have any proposed edits to the release notes, in particular to the description of the breaking change to the shape of Explanation objects.
The release notes look good to me. Let's keep it as it is. I'll put a link to the release notes on hackernews later today.
from shap.
connortann
commented on June 27, 2024
@CloseChoice @DanGolding I believe we're good to make a release now, as those key PRs are in and cibuildwheel is passing. Any objections or shall I go ahead?
from shap.
connortann
commented on June 27, 2024
Done 🎉 Let me know if you have any proposed edits to the release notes, in particular to the description of the breaking change to the shape of Explanation objects.
from shap.
Related Issues (20)
- Key not found with shap.TreeExplainer and XGBRegressor HOT 1
- BUG: Unable to Generate SHAP values for a dataframe containing text data trained on lstm model HOT 2
- BUG: Error with SHAP Partial Dependence Plot: ValueError: DataFrame.dtypes for data must be int, float, bool or category
- ENH: integrated gradients HOT 1
- Support tf 2.16 and keras 3 HOT 4
- BUG: shap.plots.bar(shap_values) TypeError
- BUG: Custom masker offset is not working properly
- BUG: AssertionError, the SHAP explanations do not sum up to the model's output! HOT 1
- BUG: Background dataset subsampling HOT 4
- BUG: AttributeError: 'tuple' object has no attribute 'as_list' (tensorflow 2.15.0) HOT 2
- [Meta-issue] Release 0.46.0 HOT 1
- [Meta-issue] Increase test coverage
- Unable to generate explanations for predict_proba using treeexplainer HOT 1
- BUG: wrong output information on the web document HOT 2
- BUG: ImportError when using numpy2 HOT 3
- ENH: Possible support of SHAP for exaplaining custom layers constructed from supported layers
- ENH: Add compatibility for Random Forest Quantile Regressor
- Numpy2 Support HOT 4
- BUG: tests/explainers/test_tree.py::TestExplainerXGBoost::test_xgboost_dmatrix_propagation[XGBRFClassifier] failing on macOs
- incompatibility between numpy and shap HOT 3
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from shap.