Comments (9)
Closing this as @bbengfort completed this card yesterday. Time to scope out the next milestone?
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@rebeccabilbro There may be a minor issue - still need to test to make sure the push to PyPI worked and that we can pip install it with ease. Saw some stuff that raised some red flags for me.
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Oh, also we have to write the release notes:
https://github.com/DistrictDataLabs/yellowbrick/releases
Didn't quite get there yesterday; sorry.
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@bbengfort gotcha.
Issue complete when:
- pip installation issues are resolved
- release notes are written up
Let me know when you want to tag up to work on the release notes and plan the next milestone
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@rebeccabilbro today and tomorrow are tough - I can do early morning Wednesday if you'd like or Thursday or Friday.
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@bbengfort sounds good
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@rebeccabilbro - ok some folks were having trouble with this, so I just fixed the pip issue during my lunch break. However, I'm going to leave the release notes for when we can catch up; just so we're on the same page and can start the conversation.
Note, that I injected a hotfix release: 0.3.1a2 as a result of this fix. Yellowbrick should be pip installable now.
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Can confirm that
pip install yellowbrick
works now!
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For python 2 and 3!
Ben
On Tue, Oct 11, 2016 at 2:23 PM, Rebecca Bilbro [email protected]
wrote:
Can confirm that
pip install yellowbrick
works now!
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Related Issues (20)
- learning curve visualizer for catboost automl using Pipelines HOT 2
- could not determine class_counts_ from previously fitted classifier HOT 5
- Radviz error from DataFrame which doesn't have sequantial index HOT 3
- How not to plot legend in RadViz plot? HOT 4
- On the generation of RadViz plot HOT 1
- 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!
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