v0.1.5

ParallelKMeans v0.1.5

Diff since v0.1.4

Closed issues:

• Add Yinyang K-Means? (#43)
• Release 0.1.4 (#62)

Merged pull requests:

• Simplify the instructions to get the experimental branch (#63) (@asinghvi17)
• typos and grammar (#64) (@xiaodaigh)
• Yinyang algorithm (#65) (@Arkoniak)
• Draft release of v0.1.5 (#67) (@PyDataBlog)

v0.1.4

ParallelKMeans v0.1.4

Diff since v0.1.3

Closed issues:

• Release 0.1.3 (#60)

Merged pull requests:

• Updated MLJ Interface with predict function (#61) (@PyDataBlog)

v0.1.3

ParallelKMeans v0.1.3

Diff since v0.1.2

Closed issues:

• Fix broken Git Actions BenchmarkCI (#38)
• [Patch Release v0.1.2] Added Full Elkan & Refactored MLJ Interface (#52)
• Support for distance metrics beyond Euclidian. (#56)

Merged pull requests:

• Attempting to fix broken git actions Benchmark (#51) (@PyDataBlog)
• Testing proposed fix for broken benchmark git actions (#53) (@PyDataBlog)
• Ignoring benchmark/Manifest.toml (#54) (@PyDataBlog)
• simd for faster calculations (#57) (@Arkoniak)
• Release of v0.1.3 (#59) (@PyDataBlog)

v0.1.2

ParallelKMeans v0.1.2

Diff since v0.1.1

Closed issues:

• Patch Release 0.1.1 - MLJModels Interface (#49)

Merged pull requests:

• Elkan and refactoring (#46) (@Arkoniak)
• Get both prod and dev branches on the same page. (#50) (@PyDataBlog)

v0.1.1

ParallelKMeans v0.1.1

Diff since v0.1.0

Closed issues:

• Correctly set up distinct pages for the two main branches (#26)
• Initial version release (#39)
• [Patch Release v0.1.1]: MLJModels Interface (#47)

Merged pull requests:

• fixed broken compilation warning (#41) (@Arkoniak)
• Mlj port (#42) (@PyDataBlog)
• Mljinterface draft (#44) (@PyDataBlog)
• Experimental (#45) (@PyDataBlog)
• Updated project [compat] with new deps (#48) (@PyDataBlog)

v0.1.0

ParallelKMeans v0.1.0

Closed issues:

• Smart init needs to be thoroughly vetted and tested. Currently buggy and unstable (#7)

Merged pull requests:

• CompatHelper: add new compat entry for "StatsBase" at version "0.32" (#1) (@github-actions[bot])
• link clean-up (#2) (@PyDataBlog)
• fix documentation (#3) (@Arkoniak)
• refactoring with multiple dispatch (#4) (@Arkoniak)
• attempting to fix broke travis config (#5) (@PyDataBlog)
• Experimental (#6) (@PyDataBlog)
• add init (#9) (@Arkoniak)
• Get the experimental branch up to date with the current stable version (#12) (@PyDataBlog)
• Fixed kmpp init (#13) (@Arkoniak)
• Experimental (but stable) implementation of single thread (#14) (@PyDataBlog)
• pointwise initial (#15) (@Arkoniak)
• Fix benchmark test (#16) (@PyDataBlog)
• fixed kmpp implementation (#19) (@Arkoniak)
• Betterdocs (#21) (@PyDataBlog)
• Implemented light Elkan version of clustering (#27) (@Arkoniak)
• Experimental (#28) (@PyDataBlog)
• refactored code and added doc strings (#29) (@Arkoniak)
• removed type instability (#30) (@Arkoniak)
• CompatHelper: bump compat for "StatsBase" to "0.33" (#31) (@github-actions[bot])
• Initial hamerly implementation (#32) (@Arkoniak)
• Experimental (#33) (@PyDataBlog)
• Cleandocs (#35) (@PyDataBlog)
• added Hamerly docstring (#36) (@Arkoniak)
• Experimental (#37) (@PyDataBlog)