Comments (3)
Try viz.view()
but that would pop up new window each time. you'll need to use subfigs or whatever to display all together in notebook.
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diplay(viz) will show every plot
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Hi. yeah, you'll Have to control which ones you want to show yourself. There's no way we can know a priori which ones you want. sorry.
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Related Issues (20)
- 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
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- Support for RandomForest HOT 5
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- 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
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- Integrate AI explanation
- CatBoost need to be supported. HOT 1
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- tfdf.keras.CartModel support? HOT 1
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