0.3.6 Alpha Release

[0.3.6] - 2020-04-04

Added

• 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
• Docstrings and doctestable examples to record.py.
• Inputs can be validated using operations
  • validate parameter in Input takes Operation.instance_name
• New db source can utilize any database that inherits from BaseDatabase
• Logistic Regression with SAG optimizer
• shouldi got an operation to run cargo-audit on rust code.
• Moved all the downloads to tests/downloads to speed the CI test.
• Test tensorflow DNNEstimator documentation exaples in CI
• Add python code for tensorflow DNNEstimator
• Ability to run a subflow as if it were an operation using the
  dffml.dataflow.run operation.
• Support for operations without inputs.
• Partial doctestable examples to features.py
• Doctestable examples for BaseSource
• Instructions for setting up debugging environment in VSCode

Fixed

• 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
• Ignore generated files in docs/plugins/
• Treat "~" as the the home directory rather than a literal
• Windows support by selecting asyncio.ProactorEventLoop and not using
  asyncio.FastChildWatcher.
• Moved SLR into the main dffml package and removed scratch:slr.

Changed

• Refactor model/tensroflow