v2.0.1

LearnAPI v2.0.1

Diff since v2.0.0

Merged pull requests:

• Bring dev up to date with master (#56) (@ablaom)
• Re-instate docs for "Testing an Implementation" (#57) (@ablaom)
• Get rid of deprecated method is_static (#58) (@ablaom)
• For a 2.0.1 release (#59) (@ablaom)

v2.0.0

LearnAPI v2.0.0

Diff since v1.0.1

Refer to #54 for breaking changes.

Merged pull requests:

• fix a bad link (#52) (@ablaom)
• LearnAPI 2.0 (#54) (@ablaom)

v1.0.1

LearnAPI v1.0.1

Diff since v1.0.0

Merged pull requests:

• Fix doc horizontal banner (#49) (@ablaom)
• Fix an incorrect claim in the FiniteIterable doc-string (#50) (@ablaom)
• For a 1.0.1 release (#51) (@ablaom)

Closed issues:

• Discussion: ingest! and update! (#13)

v1.0.0

LearnAPI v1.0.0

Diff since v0.2.0

This release contains no breaking changes, only final documentation polish, including integration of the newly released packages:

• LearnTestAPI.jl

• LearnDataFrontEnds.jl.

Merged pull requests:

• Final documentation polish for version 1.0 (#47) (@ablaom)
• For a 1.0 release 🎉 (#48) (@ablaom)

v0.2.0

LearnAPI v0.2.0

Diff since v0.1.0

This is a major, breaking rewrite of the original tentative "proposal" represented by 0.1.0, which was never intended for widespread adoption. Noteworthy change affecting StatisticalMeasures.jl and StatisticalMeasuresBase.jl:

• (breaking) LiteralTarget has been renamed Point.

Merged pull requests:

• Major refactor based on Julia Discourse feedback (#25) (@ablaom)
• Fix documentation generation (#26) (@ablaom)
• fix issue with predict_output_type (#28) (@ablaom)
• Major revision to simplify; in particular, to remove obsfit, obspredict, obstransform (#30) (@ablaom)
• Add a perceptron classifier to examples (#31) (@ablaom)
• Add an observation-updatable density estimator to tests (#32) (@ablaom)
• improve coverage (#33) (@ablaom)
• Coverage upgrade (#34) (@ablaom)
• Remove data slurping fallbacks (#35) (@ablaom)
• doc and test tweaks (#36) (@ablaom)
• add test (#37) (@ablaom)
• Use "learner" instead of "algorithm" in docs and in variable names (#38) (@ablaom)
• Remove testing of patterns (#40) (@ablaom)
• Fix links to sample patterns (#41) (@ablaom)
• Add a global default verbosity (#42) (@ablaom)
• Fix doc link (#43) (@ablaom)
• Update docs. No new release (#44) (@ablaom)
• For a 0.2.0 release (#45) (@ablaom)

Closed issues:

• Don't use "model" to describe hyperparameter struct. (#12)
• Accounting for data objects that only iterate (#15)
• Add fit_transform? (#18)
• Add a user-changeable global variable for default verbosity (#20)
• Add link to discussion in julia discourse regarding what to call learning algorithm configuration structs. (#21)
• Add new KindOfProxy: LabelAmbiguousFuzzy (#29)
• adopt getobs/numobs? (#39)

v0.1.0

LearnAPI v0.1.0

Closed issues:

• Allow multiple target proxy support with predict dispatching on the proxy. (#14)

Merged pull requests:

• Trigger doc generation (#1) (@ablaom)
• More docs (#2) (@ablaom)
• Dummy commit (#3) (@ablaom)
• Try to generate docs again (#4) (@ablaom)
• Try again to generate docs (#5) (@ablaom)
• Update README.md (#6) (@ablaom)
• Finish up traits and optional data interface (#7) (@ablaom)
• Add admonition re terminology to reference section (#8) (@ablaom)
• Typos (#9) (@PallHaraldsson)
• Clarify meaning of ingest! versus update! (#10) (@ablaom)
• Use "algorithm" instead of "model" and dispatch predict on kind of target proxy (#17) (@ablaom)
• For a 0.1.0 release (#22) (@ablaom)