Comments (4)
avati
commented on June 19, 2024
3
Hi @zhiruiwang, ngboost is still in very early stage of development. We are working on several features and speedup changes. It is very likely that something like feature importance might be added down the line. We also welcome contributions :-)
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zhiruiwang
commented on June 19, 2024
2
@avati I have made a pull request #27 of feature importance plot for tree learner using similar API as sklearn. I will also make a pull request to add in SHAP support for NGBoost.
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zhiruiwang
commented on June 19, 2024
1
SHAP support added to the same pull request #27
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alejandroschuler
commented on June 19, 2024
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Related Issues (20)
- Python 3.11 support
- quantile regression
- AttributeError: 'NGBClassifier' object has no attribute 'classes_' HOT 2
- estimator compatibility issues with sklearn HOT 2
- Slide deck not accessible HOT 2
- Deprecation warning for np.bool in Y_from_censored function HOT 2
- Is there a way to visualize the distributions ? HOT 2
- Relation to mean-field variational inference.
- AttributeError with np.bool when fitting NGBRegressor with Exponential distribution HOT 3
- Monotonicity of some parameters in distribution HOT 3
- load_boston removed from sklearn
- Support for Incremental Learning? HOT 1
- Linalg error
- Add support for python 3.12
- 'NGBClassifier' object has no attribute 'classes_' HOT 1
- Discrete explanatory variables HOT 5
- RuntimeWarning: overflow encountered in square/exp HOT 3
- About the fisher matrix of Normal Distribution HOT 2
- Use XGBoost as base estimator HOT 1
- Usage examples are no longer available
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