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RELEASE.md

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# Version 0.24.0
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# Version 0.24.1
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## Major Features and Improvements
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* Use TFXIO and batched extractors by default in TFMA.
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* N/A
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## Bug fixes and other changes
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* Updated the type hint of FilterOutSlices.
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* Fix issue with precision@k and recall@k giving incorrect values when
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negative thresholds are used (i.e. keras defaults).
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* Fix issue with MultiClassConfusionMatrixPlot being overridden by
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MultiClassConfusionMatrix metrics.
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* Made the Fairness Indicators UI thresholds drop down list sorted.
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* Fix the bug that Sort menu is not hidden when there is no model comparison.
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* Depends on `absl-py>=0.9,<0.11`.
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* Depends on `ipython>=7,<8`.
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* Depends on `pandas>=1.0,<2`.
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* Depends on `protobuf>=3.9.2,<4`.
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* Depends on `tensorflow-metadata>=0.24.0,<0.25.0`.
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* Depends on `tfx-bsl>=0.24.0,<0.25.0`.
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* Fix Jupyter lab issue with missing data-base-url.
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## Breaking changes
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* Query based metrics evaluations that make use of `MetricsSpecs.query_key`
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are now passed `tfma.Extracts` with leaf values that are of type
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`np.ndarray` containing an additional dimension representing the values
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matched by the query (e.g. if the labels and predictions were previously 1D
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arrays, they will now be 2D arrays where the first dimension's size is equal
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to the number of examples matching the query key). Previously a list of
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`tfma.Extracts` was passed instead. This allows user's to now add custom
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metrics based on `tf.keras.metrics.Metric` as well as `tf.metrics.Metric`
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(any previous customizations based on `tf.metrics.Metric` will need to be
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updated). As part of this change the `tfma.metrics.NDCG`,
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`tfma.metrics.MinValuePosition`, and `tfma.metrics.QueryStatistics` have
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been updated.
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* Renamed `ConfusionMatrixMetric.compute` to `ConfusionMatrixMetric.result`
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for consistency with other APIs.
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* N/A
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## Deprecations
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* Deprecating Py3.5 support.
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* N/A

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