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TensorFlow Lattice 2.0.8
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@wbakst wbakst released this 17 Feb 00:45
· 28 commits to master since this release
v2.0.8
35f3e9d

Changes:

  • (experimental) Parameterization option for Premade/Estimators that enables the use of both normal tfl.layers.Lattice layers ('all_vertices') and tfl.layers.KroneckerFactoredLattice layers ('kronecker_factored').
  • (experimental) KroneckerFactoredLattice layer visualization support for Estimators.
  • (experimental) KroneckerFactoredLattice bound constraints.
  • 'input_keypoints_type' parameter for PWLCalibration layers that enables learned input keypoints ('learned_interior') or the original fixed keypoints ('fixed').
  • General tutorial/code cleanup
  • Typo fixes
  • Bug fixes

PyPI Release:

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