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@beckermr beckermr released this 08 Jun 13:31
· 20 commits to master since this release
v2.2.0
a86fa34
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Learn about vigilant mode.

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.
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