Comments (5)
I think the documentation will be extremely important, especially since it will have to contain images, example code, and a lot of details about how to work with Yellowbrick. We're taking a lot of inspiration from Seaborn; it and the pandas documentation reveal how important it is to visually and intuitively explain how to use the library. If Sphinx will help us achieve that level of documentation (after all, both Pandas and Seaborn use Sphinx) then I'm all for it.
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Planning on moving all the documentation over to reStructuredText and Sphinx?
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Yes
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On Jun 25, 2016, at 4:41 PM, Benjamin Bengfort [email protected] wrote:
Planning on moving all the documentation over to reStructuredText and Sphinx?
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I actually assumed yall were already using sphinx; now that I'm in it I see you're actually using mkdocs which we can stick with if yall like, though I don't see anything like sphinx autodoc for autogenerated api documentation on the mkdocs guide/documentation so I personally am pro sphinx in this case
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I would consider the scope of this one closed by #35 and the scope of implementing it more widely to be represented by open issue #36. Reopen if you think otherwise
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Related Issues (20)
- Use classification visualizers directly from predictions, targets and logits? HOT 1
- [SilhouetteVisualizer] Constructor argument is_fitted is ignored during initialization HOT 1
- ConfusionMatrix visualizer error with sklearn models HOT 3
- Is there a way to hide the figure from KElbowVisualizer? HOT 3
- Let `KElbowVisualizer` use all the distance metrics supported by sklearn HOT 5
- The PredictionError can't be visualized due to the dim error HOT 2
- Adjusting markersize in `prediction_error` HOT 2
- Matplotlib warning about color usage in Datasaurus
- No figure output of the show method and produce a lot of findfont: Generic family 'sans-serif' not found warnings HOT 2
- Unable to use Silhouette Visualizer with Gaussian Mixture Model HOT 7
- Can't plot class report with trained model HOT 1
- Interactive plots - support plotly backend. HOT 4
- InterclusterDistance AttributeError: 'NoneType' object has no attribute '_get_renderer' HOT 2
- Add arguments to change PCA biplot arrow and arrow label colors and other properties HOT 1
- yellowbrics conflict with matplotlib: use_line_collection in cause!
- Classification report shows classes inverted if passed from sklearn label encoder
- CooksDistance regressor generating error
- Yellowbrick no updated since 1 year ago?! HOT 1
- Conda install fails
- DiscriminationThreshold() for catboost HOT 3
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