Releases: AP6YC/AdaptiveResonance.jl
v0.5.0
AdaptiveResonance v0.5.0
This release significantly overhauls the documentation of the package, providing docstrings and an organized package index page in the documentation that describes the hyperparameters and options of all exported names. This version is bumped to a minor release due to new package dependencies.
Closed issues:
- [documentation] DataConfig parameters / Index (#28)
Merged pull requests:
v0.4.3
AdaptiveResonance v0.4.3
This release hotfixes citation issues in the attached JOSS file.
v0.4.2
v0.4.1
AdaptiveResonance v0.4.1
This patch adds a variety of examples in the documentation using DemoCards.jl.
Closed issues:
- [paper] Statement of need - Target audience (#24)
- [documentation] What is the 'Hello World' for this code? (#26)
- [documentation] Minimal working examples (#27)
- [bug?] DDVFA mismatch_flag should probably be false in supervised classification (#42)
Merged pull requests:
v0.4.0
AdaptiveResonance v0.4.0
This minor release refactors most internal methods to separate incremental and batch methods along with standardizing numerical types across all modules.
Closed issues:
- [documentation,minor] HTML comments in the README can cause rendering problems (#30)
- Warning of method definition (#41)
Merged pull requests:
- Feature/docs additions (#39) (@AP6YC)
- Feature/dataconfig additions (#40) (@AP6YC)
- Feature/fuzzyart (#43) (@AP6YC)
- Feature/ddvfa refactor (#44) (@AP6YC)
- Feature/artmap refactor (#45) (@AP6YC)
- Add target audience, theory, and dynamics to paper (#46) (@AP6YC)
- Add get_bmu sections to docs and README (#47) (@AP6YC)
- Release/0.4 (#48) (@AP6YC)
v0.3.7
AdaptiveResonance v0.3.7
This patch greatly expands the contribution instructions in the docs and README.
Closed issues:
- dvfa_supervised example header (#17)
- How should users contribute/ask questions? (#18)
- [documentation] Developer Notes (#22)
- [documentation] Community Guidelines (#29)
Merged pull requests:
- Adopt Berlin Code of Conduct (#19) (@AP6YC)
- Fix typo in dvfa_supervised.jl example script (#34) (@AP6YC)
- Developer notes (#35) (@AP6YC)
- Move and expand contributing in README, delete multiline comments (#36) (@AP6YC)
- Fix the default contribution link in README (#37) (@AP6YC)
- Release/0.3.7 (#38) (@AP6YC)
v0.3.6
AdaptiveResonance v0.3.6
All ART modules can now be instantiated with keyword arguments for their hyperparameters and options in addition to the original default constructor and directly passing the parameters struct.
v0.3.5
AdaptiveResonance v0.3.5
- Hotfix a DVFA error that normalized against the first weight rather than the current one.
Closed issues:
- Activation function (#16)
v0.3.4
AdaptiveResonance v0.3.4
Random.jl dependencies have been removed from tests and examples for determinism across all platforms where the same random seed may produce different results.
v0.3.3
AdaptiveResonance v0.3.3
Hotfix a type edge case where input data loaded as abstract floats for DDVFA would break low-level linear algebra functions.