Comments (2)
Thank you for bringing this up. @Lomdjaria1
The current design was optimized for features with multiple categories (ref).
There's definitely space for improvement.
Mind opening a PR or suggest a design? : )
from manifold.
I don't understand how current layout was made? I suppose, that overlapped barcharts, with percentages of such type will be more informative. For example: I would like to see, that in group 1: mobile - is 12% precent of data, but in group1 - mobile is 40% . (on y_axis = 0.12 and 0.4)
from manifold.
Related Issues (20)
- Jupyter notebook - Export Segmentation not working HOT 2
- Module not found error HOT 1
- Segmentation by difference between models' performance
- Support multi-class classification HOT 1
- Allow users to change model names
- Allow users to monitor and change feature types
- Add on-screen tooltips
- Create practical examples using public datasets HOT 1
- Performance metric drop down not working and explanation of feature attribution is not clear HOT 1
- Export report
- How to prepare prediction dataset for manifold HOT 1
- Improve "Running demo app locally"
- CSV upload of large data does not work.
- Demo sample data is not working HOT 1
- Python manifold provide alias to model name
- Drill down to data points in clusters HOT 1
- are you planning to create python version ?
- URL does not load HOT 3
- your github.io domain seems to have been hijacked HOT 1
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from manifold.