Data Flow Facilitator for Machine Learning (dffml) v0.3.6 Release Notes

Release Date: 2020-04-04 // over 1 year ago
  • โž• Added

    • ๐Ÿ–จ Operations for taking input from the user AcceptUserInput and for printing the output print_output
    • Hugging Face Transformers tensorflow based NER models.
    • PNG ConfigLoader for reading images as arrays to predict using MNIST trained models
    • ๐Ÿ“„ Docstrings and doctestable examples to record.py.
    • Inputs can be validated using operations
      • validate parameter in Input takes Operation.instance_name
    • ๐Ÿ†• New db source can utilize any database that inherits from BaseDatabase
    • โšก๏ธ Logistic Regression with SAG optimizer
    • ๐Ÿ“š Test tensorflow DNNEstimator documentation examples in CI
    • shouldi got an operation to run cargo-audit on rust code.
    • ๐Ÿ‘ท Moved all the downloads to tests/downloads to speed the CI test.
    • ๐Ÿ“š Test tensorflow DNNEstimator documentation exaples in CI
    • โž• Add python code for tensorflow DNNEstimator
    • Ability to run a subflow as if it were an operation using the dffml.dataflow.run operation.
    • ๐Ÿ‘Œ Support for operations without inputs.
    • โœ… Partial doctestable examples to features.py
    • โœ… Doctestable examples for BaseSource
    • Instructions for setting up debugging environment in VSCode ### ๐Ÿ›  Fixed
    • ๐Ÿ†• New model tutorial mentions file paths that should be edited.
    • DataFlow is no longer a dataclass to prevent it from being exported incorrectly.
    • operations_parameter_set_pairs moved to MemoryOrchestratorContext
    • ๐Ÿ”Œ Ignore generated files in docs/plugins/
    • Treat "~" as the the home directory rather than a literal
    • ๐Ÿ Windows support by selecting asyncio.ProactorEventLoop and not using asyncio.FastChildWatcher.
    • ๐Ÿ“ฆ Moved SLR into the main dffml package and removed scratch:slr. ### ๐Ÿ”„ Changed
    • โ™ป๏ธ Refactor model/tensroflow