Comments (12)
hi @hcho3 , @martin-loetzsch , @H4dr1en
we've just merged xgboost implementation into master. Before making a new release, would be helpful to have a feedback from your sides.
You can track more comments from #83 and #91
For more details about visualizations, you can take a look at https://github.com/parrt/dtreeviz/blob/master/notebooks/dtreeviz_xgboost_visualisations.ipynb
Thanks, Tudor.
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I filed a pull request in the XGBoost repository to mention dtreeviz: dmlc/xgboost#6013. Thank you for the great work!
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@tlapusan Mainly we want to put up a self-contained demo script that can be automatically run by our CI system. That way, any future changes of XGBoost won't break dtreeviz accidentally.
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@hcho3 Have you been able to write that wrapper class for XGBoost? And if so, can you share it?
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closing this as we have xgboost and @tlapusan is working on lightgbm
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Not currently. You would just have to get ShadowDecisionTree wrappers for those trees. Note that boosting trees are usually very shallow; not sure it'll help but try it out!
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Thank you for the response
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This is a really cool project. It would be interesting to see XGBoost integrated into dtreeviz.
You would just have to get ShadowDecisionTree wrappers for those trees.
So Iād just need to define a new class that looks like ShadowDecTree? I have some experience parsing XGBoost models; let me see if I can make a working pull request.
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@hcho3 yep, would be nice. I would consider a PR. :)
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Can we re-open? A support for XGBoost would be very interesting!
I am pretty sure it is feasible using the trees_to_dataframe function to get a dataframe description of the trees:
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Ah. ok. maybe somebody could submit a PR.
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Thanks @hcho3 for your support. Is there anything we can help with the demo, or is something internal to xgboost team?
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Related Issues (20)
- Support for RandomForest HOT 5
- Visualize custom decision tree HOT 1
- how to use dtreeviz in streamlit HOT 2
- VisualisationNotYetSupportedError: get_min_samples_leaf() is not implemented yet for XGBoost. HOT 4
- TypeError: list indices must be integers or slices, not numpy.float64 HOT 5
- Crash when leaf nodes have no samples HOT 1
- Out of memory when calling viz.view() HOT 2
- Integrate AI explanation
- CatBoost need to be supported. HOT 1
- AttributeError: module 'dtreeviz' has no attribute 'model' on Windows platform, works fine on Google colab
- tfdf.keras.CartModel support? HOT 1
- TypeError: 'int' object is not subscriptable HOT 3
- Development requirement in `setup.py` HOT 1
- Adjust Bounding Box of saved svg file
- DTreeViz crashes, if descision tree was built with objects, that are interpretable as numbers.
- How to use chinese? HOT 1
- get_score() is not implemented yet for XGBoost. HOT 1
- cannot import name 'dtreeviz' from 'dtreeviz.trees HOT 1
- VisualisationNotYetSupportedError: get_node_criterion() is not implemented yet for LightGBM
- VisualisationNotYetSupportedError: get_feature_path_importance() is not implemented yet for LightGBM
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