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Data Flow Facilitator for Machine Learning (dffml) v0.3.2 Release Notes

Release Date: 2020-01-03 // over 4 years ago

  • ➕ Added

    • scikit models
      • Classifiers
      • LogisticRegression
      • GradientBoostingClassifier
      • BernoulliNB
      • ExtraTreesClassifier
      • BaggingClassifier
      • LinearDiscriminantAnalysis
      • MultinomialNB
      • Regressors
      • ElasticNet
      • BayesianRidge
      • Lasso
      • ARDRegression
      • RANSACRegressor
      • DecisionTreeRegressor
      • GaussianProcessRegressor
      • OrthogonalMatchingPursuit
      • Lars
      • Ridge
    • ✅ AsyncExitStackTestCase which instantiates and enters async and non-async contextlib exit stacks. Provides temporary file creation.
    • 🚀 Automatic releases to PyPi via GitHub Actions
    • 📚 Automatic documentation deployment to GitHub Pages
    • Function to create a config class dynamically, analogous to make_dataclass
    • ConfigLoaders class which loads config files from a file or directory to a dictionary. ### 🔄 Changed
    • ✅ CLI tests and integration tests derive from AsyncExitStackTestCase
    • SciKit models now use the auto args and config methods. ### 🛠 Fixed
    • Correctly identify when functions decorated with op use self to reference the OperationImplementationContext.
    • shouldi safety operation uses subprocess communicate method instead of stdin pipe writes.
    • 📜 Negative values are correctly parsed when input via the command line.
    • Do not lowercase development mode install location when reporting version.