Comments (5)
You can only display one tree at a time. Are you sending in one tree or a forest?
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Im sending the whole forest, I'll grab the best tree and try with it. Thanks for the answers cheers!
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Hi @marcodelmoral, did you try it and didn't work ?
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Hi @marcodelmoral, did you try it and didn't work ?
Just tried and its not supported.
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@marcodelmoral did it work ? if yes, we could close this issue. thanks
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Related Issues (20)
- Get the raw samples from a node HOT 1
- AttributeError: 'Rectangle' object has no attribute 'patches' HOT 5
- Visualisation error when a node will contains samples from only one class (sklearn)
- TypeError: dict() argument after ** must be a mapping, not float HOT 2
- from dtreeviz.trees import * Import necessary libraries HOT 1
- Color keyword argument - Value error HOT 14
- Add support for TensorFlow GradientBoostedTreesModel model
- _regr_leaf_viz calculates the mean for prediction value.
- WARNING:matplotlib.font_manager:findfont: Font family 'Arial' not found. HOT 2
- Decision Tree visualize wrong path HOT 1
- When using dataset that is different from the training for trees models - does not draw HOT 1
- 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
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