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Latest Release
292 days ago

Changelog History
Page 2

  • v0.2.0 Changes

    May 23, 2019

    [0.2.0] - 2019-05-23

    โž• Added

    • ๐Ÿ‘Œ Support for zip file source
    • Async helper for running tasks concurrently
    • Gitter badge to README
    • ๐Ÿ“š Documentation on the Data Flow Facilitator subsystem
    • ๐Ÿ”’ codesec plugin containing operations which gather security related metrics on
      code and binaries.
    • ๐Ÿ”Œ auth plugin containing an scrypt operation as an example of thread pool usage.

    ๐Ÿ”„ Changed

    • Standardized the API for most classes in DFFML via inheritance from dffml.base
    • ๐Ÿ”ง Configuration of classes is now done via the args() and config() methods
    • ๐Ÿ“š Documentation is now generated using Sphinx

    ๐Ÿ›  Fixed

    • ๐Ÿ“œ Corrected maxsplit in util.cli.parser
    • Check that dtype is a class in Tensorlfow DNN
    • โœ… CI script no longer always exits 0 for plugin tests
    • Corrected render type in to markdown
  • v0.1.2 Changes

    March 29, 2019

    โž• Added

    • Contribution guidelines
    • ๐Ÿ“š Logging documentation
    • Example usage of Git features
    • ๐Ÿ†• New Model and Feature creation script
    • ๐Ÿ†• New Feature skeleton directory
    • ๐Ÿ†• New Model skeleton directory
    • ๐Ÿ†• New Feature creation tutorial
    • ๐Ÿ†• New Model creation tutorial
    • โšก๏ธ Update functionality to the CSV source
    • ๐Ÿ‘Œ Support for Gzip file source
    • ๐Ÿ‘Œ Support for bz2 file source
    • Travis checks for additions to
    • Travis checks for trailing whitespace
    • ๐Ÿ‘Œ Support for lzma file source
    • ๐Ÿ‘Œ Support for xz file source
    • Data Flow Facilitator ### ๐Ÿ”„ Changed
    • ๐Ÿ“š Restructured documentation to docs folder and moved from rST to markdown
    • ๐Ÿ”Š Git feature cloc logs if no binaries are in path ### ๐Ÿ›  Fixed
    • Enable source.file to read from /dev/fd/XX
  • v0.1.1 Changes

    March 08, 2019

    ๐Ÿ”„ Changed

    • Corrected formatting in README for PyPi
  • v0.1.0 Changes

    March 07, 2019

    โž• Added

    • ๐Ÿ”‹ Feature class to collect a feature in a dataset
    • Git features to collect feature data from Git repos
    • Model class to wrap implementations of machine learning models
    • Tensorflow DNN model for generic usage of the DNN estimator
    • CLI interface and framework
    • Source class to manage dataset storage