0.3.3 Alpha Release

[0.3.3] - 2020-02-10

Added

• Moved from TensorFlow 1 to TensorFlow 2.
• IDX Sources to read binary data files and train models on MNIST Dataset
• scikit models
  • Clusterers
    • KMeans
    • Birch
    • MiniBatchKMeans
    • AffinityPropagation
    • MeanShift
    • SpectralClustering
    • AgglomerativeClustering
    • OPTICS
• allowempty added to source config parameters.
• Quickstart document to show how to use models from Python.
• The latest release of the documentation now includes a link to the
  documentation for the master branch (on GitHub pages).
• Virtual environment, GitPod, and Docker development environment setup notes to
  the CONTRIBUTING.md file.
• Changelog now included in documenation website.
• Database abstraction dffml.db
  • SQLite connector
  • MySQL connector
• Documented style for imports.
• Documented use of numpy docstrings.
• Inputs can now be sanitized using function passed in validate parameter
• Helper utilities to take callables with numpy style docstrings and
  create config classes out of them using make_config.
• File listing endpoint to HTTP service.
• When an operation throws an exception the name of the instance and the
  parameters it was executed with will be thrown via an OperationException.
• Network utilities to preformed cached downloads with hash validation.
• Development service got a new command, which can retrieve an argument passed
  to setuptools setup function within a setup.py file.

Changed

• All instances of src_url changed to key.
• readonly parameter in source config is now changed to readwrite.
• predict parameter of all model config classes has been changed from str to Feature.
• Defining features on the command line no longer requires that defined features
  be prefixed with def:
• The model predict operation will now raise an exception if the model it is
  passed via it's config is a class rather than an instance.
• entry_point and friends have been renamed to entrypoint.
• Use FastChildWatcher when run via the CLI to prevent BlockingIOErrors.
• TensorFlow based neural network classifier had the classification parameter
  in it's config changed to predict.
• SciKit models use make_config_numpy.
• Predictions in repos are now dictionary.
• All instances of label changed to tag
• Subclasses of BaseConfigurable will now auto instantiate their respective
  config classes using kwargs if the config argument isn't given and keyword
  arguments are.
• The quickstart documentation was improved as well as the structure of docs.

Fixed

• CONTRIBUTING.md has -e in the wrong place in the getting setup section.
• Since moving to auto args() and config(), BaseConfigurable no longer
  produces odd typenames in conjunction with docs.py.
• Autoconvert Definitions with spec into their spec

Removed

• The model predict operation erroneously had a msg parameter in it's config.
• Unused imports identified by deepsource.io
• Evaluation code from feature.py file as well as tests for those evaluations.