Milesgranger Gap Statistic Versions Save

What's Changed

• Add support for seeding RNG used for random sampling (#59). by @lebedov in https://github.com/milesgranger/gap_statistic/pull/61

New Contributors

• @lebedov made their first contribution in https://github.com/milesgranger/gap_statistic/pull/61

Full Changelog: https://github.com/milesgranger/gap_statistic/compare/v2.0.2...v2.0.3

https://pypi.org/project/gap-stat/#files

What's Changed

• Update Example.ipynb to support scikit-learn 0.24 by @alinaselega in https://github.com/milesgranger/gap_statistic/pull/51
• Replaced gap_df.append by pd.concat by @psads-git in https://github.com/milesgranger/gap_statistic/pull/58

New Contributors

• @alinaselega made their first contribution in https://github.com/milesgranger/gap_statistic/pull/51
• @psads-git made their first contribution in https://github.com/milesgranger/gap_statistic/pull/58

Full Changelog: https://github.com/milesgranger/gap_statistic/compare/v2.0.1...v2.0.2

:bug: Bug fix :hammer_and_wrench:

In v2.0.0, passing a pandas.DataFrame with parallel_backend='rust' would result in TypeError, this patch ensures any dataframe is converted to np.ndarray before hand.

Disconnect rust & use github actions (#41) Rust as optional install (#42) Fix workflows (#43) Return standard errors of the Gap statistic (#39) Generate ref data uniformly over feature range (#40) Pass n_refs and n_iter to rust impl (#46) Fix Rust ref data generation (#47) Add warning about optional rust feature (#47)

• Pass n_refs and n_iter to rust impl (#46)
• Fix Rust ref data generation (#47)
• Add warning about optional rust feature (#47)

Improvements and Fixes:

• Return standard errors of the Gap statistic (#39)
• Generate ref data uniformly over feature range (#40)

Rust as optional install:

• Disconnect rust & use github actions (#41)
• Rust as optional install (#42)
• Fix workflows (#43)

• Optimizations to Rust backend. https://github.com/milesgranger/gap_statistic/pull/35

• Change license from BSD-3 to dual Unlicense / MIT (#30)
• Add OSX to Azure Pipelines building (#31)
• Multiple upgrade to gap calculation, n cluster calc, docs, etc (#28)
• Fix passing of null data to final calculations rather than the observed dataset (#34)

• Change license from BSD-3 to dual Unlicense / MIT (#30)
• Add OSX to Azure Pipelines building (#31)
• Multiple upgrade to gap calculation, n cluster calc, docs, etc (#28)
• Fix passing of null data to final calculations rather than the observed dataset (#34)

• OptimalK object's dataframe now has an additional column with the standard deviations of the reference distributions (https://github.com/milesgranger/gap_statistic/commit/c61ee923d3040815372ed77141de34144fdf49d4)