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TensorFlow Lattice 2.0.6 [Note: last py2 compatible release]

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@wbakst wbakst released this 10 Aug 22:56
· 36 commits to master since this release
v2.0.6
2aeb367

TensorFlow is dropping py2 support, so we will be dropping support as well in our future releases. This is the last release that will support py2.

Changes:

  • New (experimental) KroneckerFactoredLattice Layer, which introduces a new parameterization of our Lattice layer with linear space/time complexity.
  • rtl_lib.py helper functions for RTL Layer.
  • Utils module with useful helper functions for all layers.
  • 'rtl_layer' option for CalibratedLatticeEnsemble Premade Models and Canned Estimators, which uses an RTL Layer for the underlying ensemble. Can potentially give a speed-boost for models with a large number of lattices.
  • General code cleanup
  • Typo fixes
  • Bug fixes

PyPI release:

  • Generic package for py2/py3 that should work for TF 1.15 or TF 2.x.
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