Bump tensorflow-transform from 1.3.0 to 1.6.0

[dependabot[bot]]

Bumps tensorflow-transform from 1.3.0 to 1.6.0.

Release notes

Sourced from tensorflow-transform's releases.

TensorFlow Transform 1.6.0

Major Features and Improvements

• Introduced tft.experimental.get_vocabulary_size_by_name that can retrieve the size of a vocabulary computed using tft.vocabulary within the preprocessing_fn.
• tft.experimental.ptransform_analyzer now supports analyzer cache using the newly added tft.experimental.CacheablePTransformAnalyzer container.
• tft.bucketize_per_key now supports weights.

Bug Fixes and Other Changes

• Depends on numpy>=1.16,<2.
• Depends on apache-beam[gcp]>=2.35,<3.
• Depends on absl-py>=0.9,<2.0.0.
• Depends on tensorflow-metadata>=1.6.0,<1.7.0.
• Depends on tfx-bsl>=1.6.0,<1.7.0.
• Depends on tensorflow>=1.15.5,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,<3.

Breaking Changes

• N/A

Deprecations

• N/A

TensorFlow Transform 1.5.0

Major Features and Improvements

• Introduced tft.experimental.approximate_vocabulary analyzer that is an approximate version of tft.vocabulary which is more efficient with smaller number of unique elements or top_k threshold.

Bug Fixes and Other Changes

• Raise a RuntimeError if order of analyzers in traced Tensorflow Graph is non-deterministic in TF2.
• Fix issue where a tft.experimental.ptransform_analyzer's output dtype could be propagated incorrectly if it was a primitive as opposed to np.ndarray.
• Depends on apache-beam[gcp]>=2.34,<3.
• Depends on tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,<2.8.
• Depends on tensorflow-metadata>=1.5.0,<1.6.0.
• Depends on tfx-bsl>=1.5.0,<1.6.0.

Breaking Changes

... (truncated)

Changelog

Sourced from tensorflow-transform's changelog.

Version 1.6.0

Major Features and Improvements

• Introduced tft.experimental.get_vocabulary_size_by_name that can retrieve the size of a vocabulary computed using tft.vocabulary within the preprocessing_fn.
• tft.experimental.ptransform_analyzer now supports analyzer cache using the newly added tft.experimental.CacheablePTransformAnalyzer container.
• tft.bucketize_per_key now supports weights.

Bug Fixes and Other Changes

• Depends on numpy>=1.16,<2.
• Depends on apache-beam[gcp]>=2.35,<3.
• Depends on absl-py>=0.9,<2.0.0.
• Depends on tensorflow-metadata>=1.6.0,<1.7.0.
• Depends on tfx-bsl>=1.6.0,<1.7.0.
• Depends on tensorflow>=1.15.5,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,<3.

Breaking Changes

• N/A

Deprecations

• N/A

Version 1.5.0

Major Features and Improvements

• Introduced tft.experimental.approximate_vocabulary analyzer that is an approximate version of tft.vocabulary which is more efficient with smaller number of unique elements or top_k threshold.

Bug Fixes and Other Changes

• Raise a RuntimeError if order of analyzers in traced Tensorflow Graph is non-deterministic in TF2.
• Fix issue where a tft.experimental.ptransform_analyzer's output dtype could be propagated incorrectly if it was a primitive as opposed to np.ndarray.
• Depends on apache-beam[gcp]>=2.34,<3.
• Depends on tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,<2.8.
• Depends on tensorflow-metadata>=1.5.0,<1.6.0.
• Depends on tfx-bsl>=1.5.0,<1.6.0.

... (truncated)

Commits

• 181d19d Update 1.6.0 in version.py and RELEASE.md (#258)
• 993d3c3 TFT 1.6.0 Release
• ff04e67 Showcase tft_unit in simple example, and validate the expected transformed data.
• cd42be7 Update absl_py dependency to newer 1.0.0 release and also updating TF version...
• 3fd0137 Slightly restricting pytype check.
• bc5c3da Fix or ignore some pytype errors.
• 605db35 Added support of weights to tft.bucketize_per_key.
• 10ad0a4 Don't require transformed_metadata to exist when using TFTransformOutput.voca...
• 963f2c4 n/a
• fef8d73 internal only
• Additional commits viewable in compare view

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[dependabot[bot]]

Superseded by #484.