Version 0.1.7

Version 0.1.7

Major Features and Improvements

• Adding Counterfactual Logit Pairing to the TensorFlow Model Remediation library.

Bug fixes and other small changes

Breaking changes

Deprecations

Version 0.1.6

Version 0.1.6

Major Features and Improvements

• Adding a new MinDiff loss of Adjusted MMD Loss

Bug fixes and other small changes

• build_min_diff_dataset now supports SparseTensors.
• Adding an enable/disable feature for summary_histogram.
• Moving TensorFlow Model Remediation to support Python 3 only.

Breaking changes

Deprecations

Version 0.1.5

Version 0.1.5

Major Features and Improvements

• Add support for multiple applications of MinDiff within MinDiffModel. This
  includes:

  • Utils for validating and manipulating structures for MinDiff applications
  • Added functionality in input utils to enable packing multiple sets of
    MinDiff data into one dataset.
  • Changes to MinDiffModel to support multiple applications of MinDiff in a
    single instance.

Bug fixes and other small changes

• Remove protobuf and tensorflow_model_analysis dependencies.
• pack_min_diff_data now conserves shape or original inputs.

Breaking changes

• (Minor) Change default name of MinDiffLoss instance to be snake_case.

Deprecations

Version 0.1.4

Version 0.1.4

Major Features and Improvements

Bug fixes and other small changes

• Add support for MinDiffModel subclasses that are also subclasses of TF
  Functional class.
• Add uci related utils for colabs. This is unrelated to the actual
  package api but is used in our tutorials and guides.

Breaking changes

Deprecations

Version 0.1.3

Version 0.1.3

Major Features and Improvements

Bug fixes and other small changes

• Implement get_config and from_config methods for losses, kernels and
  MinDiffModel register classes as keras objects.

Breaking changes

• (Minor) Change output of test_step to not include min_diff_loss metric if
  min_diff_data is not included.

Version 0.1.2

Version 0.1.2