astartes v1.0.3

astartes Patch Release 1.0.3

This release adds first-party support for Pandas dataframes and series as input arguments to astartes!

What's Changed

• Support for Pandas Dataframe and Series by @JacksonBurns in #127

Full Changelog: v1.0.2...v1.0.3

astartes v1.0.2

astartes Patch Release 1.0.2

This patch release of astartes includes dramatic speedup and scaling improvements for the Kennard Stone and SPXY samplers (see #126).

What's Changed

• Improve Performance of Kennard-Stone, SPXY Samplers by @JacksonBurns in #126

Full Changelog: v1.0.1...v1.0.2

astartes v1.0.1

astartes Patch Release 1.0.1

This patch release contains minor internal changes, including fixing a typo in a demonstration notebook and more careful internal handling of input arrays to ensure consistent data types.

astartes is now more flexible for the types of X, y, and labels input - if they are not numpy arrays, astartes will attempt to convert them and provide a helpful warning.

What's Changed

• Fix typo in RDB7 notebook by @kspieks in #121
• add support for X, y, and labels of type other than np.ndarray by @JacksonBurns in #124

Full Changelog: v1.0.0...v1.0.1

astartes v1.0.0

This is the initial production release of astartes. See the complete changelog below for a record of updates since the beta testing.

What's Changed

• Add example notebook with Sci Dataset example by @kspieks in #43
• Examples: new notebook to demonstrate train_val_test_split and CI for notebooks by @JacksonBurns in #67
• fix issue with missing packages, bump beta version by @JacksonBurns in #82
• Set random seed by @kspieks in #89
• Update description by @kspieks in #90
• Update Project Description and Supported Python Subversions in pyproject.toml and README.md by @JacksonBurns in #92
• Change behavior of return_indices by @JacksonBurns in #93
• Implement random_state effect in extrapolative cluster assignment by @JacksonBurns in #94
• Repo meta fixes by @JacksonBurns in #95
• Add support for passing RDKit Molecules directly by @JacksonBurns in #96
• astartes v1.0 Release Candidate 1 by @JacksonBurns in #97
• Ensuring Reproducibility in the Paper and Regular Use by @kspieks in #99
• Time splits by @kspieks in #101
• Double-Assignment Bug in main.py Leads to Points being Left Out by @JacksonBurns in #105
• Fix scaffold splits by @kspieks in #106
• Backend Changes for Better Clarity and Maintainability by @JacksonBurns in #107
• New Example Notebook: Quantitative and Visual Comparisons of Different Sampling Algorithms with Fast Food by @JacksonBurns in #104
• Small Bugfixes for v1.0.0 by @JacksonBurns in #108
• Update notebooks by @kspieks in #110
• Fix KennardStone Sampler by @JacksonBurns in #112
• remove kennard_stone from requirements by @JacksonBurns in #113
• astartes Demonstration Notebook for MLPDS 2023 by @JacksonBurns in #114
• Bug fixes for v1.0 by @JacksonBurns in #117
• astartes v1.0.0 Release by @JacksonBurns in #109

Full Changelog: v1.0.0b0...v1.0.0

`astartes` 1.0.0 Initial Beta Release

Initial Beta Release

This release coincides with the publication of astartes v1.0.0b0 on PyPI and contains a number of additions and minor API changes for testing by the broader community.

What's Changed

• add test for random and sampler factory by @JacksonBurns in #55
• Switch 'backend' to train_val_test_split instead of train_test_split by @JacksonBurns in #56
• DBSCAN by @kspieks in #59
• add transition to astartes docs page by @JacksonBurns in #61
• Addition of Missing (and Improvement of Existing) Docstrings by @JacksonBurns in #62
• Avoid redefining Python's native NotImplementedError by @kspieks in #64
• Add OptiSim by @JacksonBurns in #63
• Add SPXY Sampler, Fix Bug in Interpolative Sampler Set Filling by @JacksonBurns in #71
• Scaffold splits by @kspieks in #65
• README Update, PR and Issue Templates, Developer Instructions by @JacksonBurns in #66
• Add Actions Concurrency by @JacksonBurns in #72
• Allow users to access the power hyperparameter for DBSCAN by @kspieks in #74
• Improve scaffold by @kspieks in #73
• Allow arguments for KMeans to be accessible to users by @kspieks in #75
• Initial beta release by @JacksonBurns in #77

Full Changelog: v1.0.0a2...v1.0.0b0

`astartes` 1.0.0 Alpha release 2

This is a pre-release of astartes for packaging and distribution testing and is not intended for deployment and/or use.

What's Changed

• Rename abstract_sampler methods for grammatical consistency by @himaghna in #1
• Set up name changes by @himaghna in #3
• Correct typos in sampler.py by @himaghna in #2
• Fix KEnnardStone and random sampler naming by @himaghna in #5
• Remove random from samplers init.py file by @himaghna in #4
• Add matrix_ops by @himaghna in #6
• Add KS sampler by @himaghna in #7
• Warn about PR's that have low test coverage by @JacksonBurns in #11
• remove coverage check from CI on main by @JacksonBurns in #12
• Refactor to Leverage ABC Better by @JacksonBurns in #8
• Add QM9 test as example for validating all samplers and train_test_split by @JacksonBurns in #14
• add test runs on more python versions and OSs by @JacksonBurns in #38
• only run pr coverage check on ready to review PRs by @JacksonBurns in #39
• switch to pyproject.toml by @JacksonBurns in #41
• Interface sampler refactor by @JacksonBurns in #42
• Fix minor typos in readme by @kspieks in #49
• Updated Implementation and Unit Testing for Kennard-Stone Sampler by @JacksonBurns in #47
• Run isort as a CI Check by @JacksonBurns in #51
• Revert back to sklearn train_test split for random splitting by @kspieks in #50
• move sphere_exclusion, add fxn/test headers and imports by @JacksonBurns in #48
• Add SamplerFactory to simplify train_test_split by @JacksonBurns in #53
• add pypi build and release action by @JacksonBurns in #54

New Contributors

• @himaghna made their first contribution in #1
• @kspieks made their first contribution in #49

Full Changelog: https://github.com/JacksonBurns/astartes/commits/v1.0.0a2