v2.3.2

Changed

• Increase minimum version of tensorflow to v1.15.4 to fix the security vulnerability reported in GHSA-4g9f-63rx-5cw4 (#105)
• Set more specific scikit-learn version requirements to avoid incompatibilities and test failures (#105)

Removed

• Remove Python 3.5 support (#105)

v2.3.1

Fixed

• Fixed an issue with builds failing due to numerical issues (#103)

Changed

• Increase minimum version of tensorflow to v1.15.2 to fix the security vulnerability reported in GHSA-977j-xj7q-2jr9 (#101).
• Dropped support for Python 2.7 and 3.4 (#101).

v2.3.0

Changed

• Allowed a recent version of scikit-learn (#99).

Fixed

• Updated tests for changes in new versions of scipy, scikit-learn, and flake8 (#98).
• Increased required version of tensorflow due to published CVEs in older versions (#98).

v2.2.0

Added

• Added prediction_gradient method for understanding the impact of different
  features in MLPs with dense inputs.
• Added support for SELU activations with alpha dropout.
• Added sample weights for the FMClassifier.
• Added FMRegressor.

Fixed

• Exposed muffnn.__version__.
• Fixed bug in FMClassifier where it failed for predicting one example.
• Fixed ValueError for type of target in MLPClassifier and FMClassifier (#90).

Changed

• Updated requirements on numpy to 1.14 or higher.
• Updated requirements on scipy to 1.0 or higher.

v2.1.0

Added

• Added support for the sample_weight keyword argument to the fit
  method of MLPClassifier and MLPRegressor (#75).

Changed

• Switched from requiring TensorFlow 1.x to 1.4.x because 1.5.0 was causing
  Travis CI failures with Python 3.6 (#78).

v2.0.0

Added

• Added a transform_layer_index keyword and transform method to the
  MLPClassifier and MLPRegressor to extract features from a hidden layer (#62).

Changed

• Moved the MLPClassifier and MLPRegressor to using
  Xavier initialization (#68).

v1.2.0

Added

• Python 2.7 compatibility (#57).
• Added a monitor keyword to the autoencoder (#58).
• Added a factorization machine classifier (#50).

Changed

• Moved to Travis instead of CircleCI (#57).
• Upgraded to TensorFlow 1.3.X.
• Upgraded to numpy 1.13.1.
• Upgraded to scipy 0.19.1.
• Upgraded to scikit-learn 0.19.0.
• Upgraded to python 3.6.2.
• Upgraded requirements to match python 2 properly (#59).

v1.1.2

Version 1.1.2. See CHANGELOG.md for details.

v1.1.1

Version 1.1.1. See CHANGELOG.md for details.

v1.1.0

Version 1.1.0. See CHANGELOG.md for details.