Releases
v1.7.0
TensorFlow Data Validation 1.7.0
Major Features and Improvements
Adds the DetectFeatureSkew
PTransform to the public API, which can be used
to detect feature skew between training and serving examples.
Uses sketch-based top-k/uniques in TFDV inmemory mode.
Bug Fixes and Other Changes
Fixes a bug in load_statistics that would cause failure when reading binary
protos.
Depends on pyfarmhash>=0.2,<0.4
.
Depends on
tensorflow>=1.15.5,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,<3
.
Depends on tensorflow-metadata>=1.7.0,<1.8.0
.
Depends on tfx-bsl>=1.7.0,<1.8.0
.
Depends on apache-beam[gcp]>=2.36,<3
.
Updated the documentation for CombinerStatsGenerator to clarify that the
first accumulator passed to merge_accumulators may be modified.
Added compression type detection when reading csv header.
Detection of invalid utf8 strings now works regardless of relative frequency.
Known Issues
Breaking Changes
Deprecations
You can’t perform that action at this time.