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This introduces two classes (ShadowNN and ShadowCNN) that can be used for semi-supervised machine learning with neural networks, Shadow, and PyTorch. This includes typical scikit-learn-esque methods like train and predict as well as methods for hyperparameter optimization and saving the model to file.

@stompsjo stompsjo requested a review from gonuke October 31, 2022 18:33
@stompsjo stompsjo self-assigned this Oct 31, 2022
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coveralls commented Oct 31, 2022

Pull Request Test Coverage Report for Build 3363795138

  • 0 of 0 changed or added relevant lines in 0 files are covered.
  • No unchanged relevant lines lost coverage.
  • Overall coverage remained the same at 100.0%

Totals Coverage Status
Change from base Build 3348444582: 0.0%
Covered Lines: 221
Relevant Lines: 221

💛 - Coveralls

@stompsjo
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Closing this PR in favor of #50

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