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Data Flow Facilitator for Machine Learning (dffml) v0.3.5 Release Notes

Release Date: 2020-03-10 // about 4 years ago

  • [0.3.5] - 2020-03-10

    ➕ Added

    • Parent flows can now forward inputs to active contexts of subflows.
      • forward parameter in DataFlow
      • subflow in OperationImplementationContext
    • 📚 Documentation on writing examples and running doctests
    • ✅ Doctestable Examples to high-level API.
    • Shouldi got an operation to run npm-audit on JavaScript code
    • 📄 Docstrings and doctestable examples for record.py (features and evaluated)
    • Simplified model API with SimpleModel
    • 📚 Documentation on how DataFlows work conceptually.
    • 💅 Style guide now contains information on class, variable, and function naming.

    🔄 Changed

    • 📚 Restructured contributing documentation
    • ✅ Use randomly generated data for scikit tests
    • 🔄 Change Core to Official to clarify who maintains each plugin
    • Name of output of unsupervised model from "Prediction" to "cluster"
    • 📚 Test scikit LR documentation examples in CI
    • 🚀 Create a fresh archive of the git repo for release instead of cleaning
      🚀 existing repo with git clean for development service release command.
    • ✅ Simplified SLR tests for scratch model
    • 📚 Test tensorflow DNNClassifier documentation exaples in CI
    • config directories and files associated with ConfigLoaders have been renamed
      to configloader.
    • Model config directory parameters are now pathlib.Path objects
    • 🆕 New model tutorial and skel/model use simplifeid model API.