TensorFlow Metadata 0.25.0
Major Features and Improvements
-
Added new Anomaly and Schema field to support drift and distribution skew
detection for numeric features. -
Added a new field in Anomalies proto to report the raw measurements of
distribution skew detection. -
From this release TFMD 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 tensorflow-metadata
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 TFMD available on PyPI by running the
commandpip install tensorflow-metadata
.
Bug Fixes and Other Changes
- Added new Anomaly type to describe when a domain is incompatible with the
data type. - Added new Anomaly types for invalid schema configurations (missing name,
missing type, etc). - Added new Anomaly type to describe when type does not match the data.
- Added new LifecycleStage:DISABLED.
Breaking changes
- N/A
Deprecations
- N/A