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Changelog

Beta

v0.4.0 - 2022-11-03

Software Changes:

  • ✨ Bump datasets to v0.0.6, Add california_housing and roofworld20 https://github.com/srlearn/relational-datasets/pull/28

Documentation Changes:

  • ✨ Dataset loading recommendations. All pages under "Dataset descriptions" now have Python and Julia tabs recommending how to load the latest version of each dataset https://github.com/srlearn/relational-datasets/pull/30

CI Changes:

  • 🔧 Bump codecov-action to v3 https://github.com/srlearn/relational-datasets/pull/29
  • 🔧 Set pythonpublish.yml to use pypi-publish https://github.com/srlearn/relational-datasets/pull/31

v0.3.0 - 2022-06-20

Software Changes:

  • Append the name of the variable to the discrete variable value in from_numpy https://github.com/srlearn/relational-datasets/pull/25

Documentation Changes:

  • Add mkdocstrings-python dependency https://github.com/srlearn/relational-datasets/pull/27
  • Drop handler in docs/api/* for generating docstrings https://github.com/srlearn/relational-datasets/pull/27
  • Update cells by running notebooks https://github.com/srlearn/relational-datasets/pull/26

v0.2.2 - 2021-12-04

Software Changes:

  • Add multiclass support to convert.from_numpy

Documentation:

  • Add notebook with overview on converting multiclass vector datasets

Testing:

  • Add tests for convert.from_numpy

v0.2.1 - 2021-12-01

Software Changes:

  • Add drug_interactions and toy_machines datasets
  • Add v0.0.5 as the latest srlearn/datasets release

v0.2.0 - 2021-08-27

Software Changes:

  • Add convert module with from_numpy implementation to convert binary classification and regression datasets based on ordinal encodings.
  • Fix type annotations in relational_datasets.request
  • Fix type annotations in relational_datasets.types

Documentation:

  • Add tutorial for converting vector/propositional datasets to relational
  • Add mkdocs dependency: pymdownx.tasklist
  • Add binder and colab launch badges to Jupyter notebook tutorials

Testing:

  • Add lgtm build step + README badge
  • Add codecov build step + README badge
  • Add numpy>=1.20.0 as an optional setup target, and test against it (this is the earliest version of numpy where type annotations for mypy seem to be consistently available)

Pre-Alpha

v0.1.1 - 2021-08-10

Software Changes:

  • Bump default dataset version: v0.0.3 → v0.0.4.
  • Between v0.0.3 and v0.0.4 of srlearn/datasets, all zipfiles now have the version number appended (e.g. toy_cancer_v0.0.4.zip). Add logic to request the correct filename from GitHub.
  • Add deserialize_zipfile function, split out code for pulling zipfile content from the load method.
  • Add private _make_file_path function to handle where zipfiles are stored on a user's filesystem.
  • Move RelationalDataset type into relational_datasets/types.py
  • Fix hayesall/relational_datasets → srlearn/relational_datasets in setup.py
  • Clarify typing.Optional in function signatures where default file paths are allowed.
  • Add __version__ to the main __init__, so print(relational_datasets.__version__) is valid.

Documentation:

  • Add mkdocs builds with each push to the main branch.
  • Add requirements_dev.txt with requirements to build documentation.
  • Add docs/build._docs.py to build a Downloads page and an overview of each dataset pulled from the srlearn/datasets repository.
  • Add docs/notebooks/ directory for literate tutorials
    • Add 00_loading_and_fetching.ipynb
  • Pages for functions and types:
    • types.RelationalDataset
    • request.deserialize_zipfile
    • request.fetch
    • request.latest_version
    • request.load

v0.1.0 - 2021-07-21

Release basic specification:

  • load(name: str, version: str = "", fold: int = 1) -> Tuple[RelationalDataset, RelationalDataset]: Load examples and facts for a dataset/version/fold
  • fetch(name: str, version: str = "") -> str: Download and cache an archive locally
  • get_data_home(data_home=None) -> str: Get the path to the cache directory
  • clear_data_home(data_home=None) -> None: Remove the cache directory
  • latest_version() -> str: Check latest version of datasets on GitHub
Last update: November 3, 2022