Releases: tensorflow/fairness-indicators
Version 0.25.0
Fairness Indicators 0.25.0
Major Features and Improvements
-
Add workflow buttons to Fairness Indicators UI, providing tutorial on how to
configure metrics and parameters, and how to interpret the results. -
Add metric definitions as tooltips in the metric selector UI
-
Removing prefix from metric names in graph titles in UI.
-
From this release Fairness Indicators will also be hosting nightly packages
on https://pypi-nightly.tensorflow.org. To install the nightly package use
the following command:pip install -i https://pypi-nightly.tensorflow.org/simple fairness-indicators
Note: These nightly packages are unstable and breakages are likely to
happen. The fix could often take a week or more depending on the complexity
involved for the wheels to be available on the PyPI cloud service. You can
always use the stable version of Fairness Indicators available on PyPI by
running the commandpip install fairness-indicators
.
Bug fixes and other changes
- Update table colors.
- Modify privacy note in Fairness Indicators UI.
- Depends on
tensorflow-data-validation>=0.25,<0.26
. - Depends on
tensorflow-model-analysis>=0.25,<0.26
.
Breaking changes
- N/A
Deprecations
- N/A
Tensorboard Plugin 0.25.0
Major Features and Improvements
-
From this release Tensorboard Plugin will also be hosting nightly packages
on https://pypi-nightly.tensorflow.org. To install the nightly package use
the following command:pip install -i https://pypi-nightly.tensorflow.org/simple tensorboard-plugin-fairness-indicators
Note: These nightly packages are unstable and breakages are likely to
happen. The fix could often take a week or more depending on the complexity
involved for the wheels to be available on the PyPI cloud service. You can
always use the stable version of Tensorboard Plugin available on PyPI by
running the commandpip install tensorboard-plugin-fairness-indicators
.
Bug fixes and other changes
- Adding support for model comparison using dynamic URL in TensorBoard plugin.
- Depends on
tensorflow-model-analysis>=0.25,<0.26
.
Breaking changes
- N/A
Deprecations
- N/A
Version 0.24.0
Fairness Indicators 0.24.0 Release
Major Features and Improvements
- Made the Fairness Indicators UI thresholds drop down list sorted.
Bug fixes and other changes
- Fix in the issue where the Sort menu is not hidden when there is no model
comparison. - Depends on
tensorflow-data-validation>=0.24,<0.25
. - Depends on
tensorflow-model-analysis>=0.24,<0.25
.
Breaking changes
- N/A
Deprecations
- Deprecated Py3.5 support.
Tensorboard Plugin 0.24.0 Release
Major Features and Improvements
- N/A
Bug fixes and other changes
- Fix in the error message while rendering evaluation results in
TensorBoard plugin from evaluation output path provided in the URL. - Depends on
tensorflow-model-analysis>=0.24,<0.25
.
Breaking changes
- Depends on
tensorflow-model-analysis>=0.23,<0.24
.
Deprecations
- Deprecating Py3.5 support.
Version 0.23.1
Fairness Indicators 0.23.1 Release
Major Features and Improvements
- N/A
Bug fixes and other changes
- Fix broken import path in Fairness_Indicators_Example_Colab amd Fairness_Indicators_on_TF_Hub_Text_Embeddings.
Breaking changes
- N/A
Deprecations
- N/A
Tensorboard Plugin 0.23.1 Release
Major Features and Improvements
- N/A
Bug fixes and other changes
- N/A
Breaking changes
- N/A
Deprecations
- N/A
Version 0.23.0
Fairness Indicators 0.23.0
Major Features and Improvements
- N/A
Bug fixes and other changes
- Depends on
tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,<3
. - Depends on
tensorflow-data-validation>=0.23,<0.24
. - Depends on
tensorflow-model-analysis>=0.23,<0.24
.
Breaking changes
- N/A
Deprecations
- Deprecating Py2 support.
- Note: We plan to drop py3.5 support in the next release.
Tensorboard Plugin 0.23.0
Major Features and Improvements
- N/A
Bug fixes and other changes
- Depends on
tensorboard>=2.3.0,<3
. - Depends on
tensorflow>=2.3.0,<3
. - Depends on
tensorflow-model-analysis>=0.23,<0.24
.
Breaking changes
- N/A
Deprecations
- Deprecating Py2 support.
- Note: We plan to drop py3.5 support in the next release.