Added
- Real DataFlows, see operations tutorial and usage examples
- Async helper concurrently nocancel optional keyword argument which, if set is
a set of tasks not to cancel when the concurrently execution loop completes.
- FileSourceTest has a `test_label` method which checks that a FileSource knows
how to properly load and save repos under a given label.
- Test case for Merge CLI command
- Repo.feature method to select a single piece of feature data within a repo.
- Dev service to help with hacking on DFFML and to create models from templates
in the skel/ directory.
- Classification type parameter to DNNClassifierModelConfig to specify data
type of given classification options.
- util.cli CMD classes have their argparse description set to their docstring.
- util.cli CMD classes can specify the formatter class used in
`argparse.ArgumentParser` via the `CLI_FORMATTER_CLASS` property.
- Skeleton for service creation was added
- Simple Linear Regression model from scratch
- Scikit Linear Regression model
- Community link in CONTRIBUTING.md.
- Explained three main parts of DFFML on docs homepage
- Documentation on how to use ML models on docs Models plugin page.
- Mailing list info
- Issue template for questions
- Multiple Scikit Models with dynamic config
- Entrypoint listing command to development service to aid in debugging issues
with entrypoints.
- HTTP API service to enable interacting with DFFML over HTTP. Currently
includes APIs for configuring and using Sources and Models.
- MySQL protocol source to work with data from a MySQL protocol compatible db
- shouldi example got a bandit operation which tells users not to install if
there are more than 5 issues of high severity and confidence.
- dev service got the ability to run a single operation in a standalone fashion.
- About page to docs.
- Tensorflow DNNEstimator based regression model.
Changed
- feature/codesec became it's own branch, binsec
- BaseOrchestratorContext `run_operations` strict is default to true. With
strict as true errors will be raised and not just logged.
- MemoryInputNetworkContext got an `sadd` method which is shorthand for creating
a MemoryInputSet with a StringInputSetContext.
- MemoryOrchestrator `basic_config` method takes list of operations and optional
config for them.
- shouldi example uses updated `MemoryOrchestrator.basic_config` method and
includes more explanation in comments.
- CSVSource allows for setting the Repo's `src_url` from a csv column
- util Entrypoint defines a new class for each loaded class and sets the
`ENTRY_POINT_LABEL` parameter within the newly defined class.
- Tensorflow model removed usages of repo.classifications methods.
- Entrypoint prints traceback of loaded classes to standard error if they fail
to load.
- Updated Tensorflow model README.md to match functionality of
DNNClassifierModel.
- DNNClassifierModel no longer splits data for the user.
- Update `pip` in Dockerfile.
- Restructured documentation
- Ran `black` on whole codebase, including all submodules
- CI style check now checks whole codebase
- Merged HACKING.md into CONTRIBUTING.md
- shouldi example runs bandit now in addition to safety
- The way safety gets called
- Switched documentation to Read The Docs theme
- Models yield only a repo object instead of the value and confidence of the
prediction as well. Models are not responsible for calling the predicted
method on the repo. This will ease the process of making predict feature
specific.
- Updated Tensorflow model README.md to include usage of regression model
Fixed
- Docs get version from dffml.version.VERSION.
- FileSource zipfiles are wrapped with TextIOWrapper because CSVSource expects
the underlying file object to return str instances rather than bytes.
- FileSourceTest inherits from SourceTest and is used to test json and csv
sources.
- A temporary directory is used to replicate `mktemp -u` functionality so as to
provide tests using a FileSource with a valid tempfile name.
- Labels for JSON sources
- Labels for CSV sources
- util.cli CMD's correcly set the description of subparsers instead of their
help, they also accept the `CLI_FORMATTER_CLASS` property.
- CSV source now has `entrypoint` decoration
- JSON source now has `entrypoint` decoration
- Strict flag in df.memory is now on by default
- Dynamically created scikit models get config args correctly
- Renamed `DNNClassifierModelContext` first init arg from `config` to `features`
- BaseSource now has `base_entry_point` decoration
Removed
- Repo objects are no longer classification specific. Their `classify`,
`classified`, and `classification` methods were removed.