Comments (3)
brills
commented on May 9, 2024
If you are still interested in it, yes - a PR is welcomed.
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htahir1
commented on May 9, 2024
Happy to contribute but need some more detail on how I should proceed. The code I outlined above will probably break visualize_statistics where get_statistics_html is originally called in the source.
Should the added behavior be a seperate utility function call? Or should the change then propagate down to visualize_statistics?
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brills
commented on May 9, 2024
We currently have tfdv.get_slice_stats which can give you a DatasetFeatureStatisticsList that contains only one entry (the slice that you care about).
you can call get_statistics_html(tfdv.get_slice_stats(your_stats, your_slice_name))
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Related Issues (20)
- Support for manual numerical distribution constraints in schema/anomalies HOT 5
- Dependency Issues HOT 4
- Dipslay schema and stats in dashboard HOT 2
- The potential security vulnerability on the joblib library HOT 2
- hot key issue HOT 4
- The latest numpy release 1.24.0 broke TFDV HOT 3
- Support for statistics of discrete numerical data HOT 4
- Installation of tensorflow data validation still failing for mac m1/m2 chips HOT 3
- Request to update source distributions in pypi repository HOT 3
- Error building data-validation HOT 5
- Remove pyarrow dependency upper bound cap HOT 1
- Error installing tensorflow_data_validation HOT 7
- Descriptor can not be created directly
- Python 3.10 Support HOT 7
- Lack of understandable documentation for Custom Data Validation HOT 6
- Use all the CPU available on a single node for `generate_statistics_from_tfrecord` HOT 4
- EVA HOT 3
- Update pyarrow version range to address vulnerability CVE-2023-47248 HOT 1
- Installation of tensorflow data validation still failing for mac m2 chips? HOT 1
- Upgrade pandas version HOT 2
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