Waikato/meka

📋 Changes

• added edge case handling in case of really low label cardinality, removed unnecessary double casts, fixed bracketing (https://github.com/Waikato/meka/pull/80) - thanks to @lorsbach
• additional multi-label classifiers: ERFH, HOMER, MLRF (https://github.com/Waikato/meka/pull/81 and https://github.com/Waikato/meka/pull/84) - thanks to @agkphysics
• updated flatlaf look'n'feel
• switched to [simple-directory-chooser](https://github.com/waikato-datamining/simple-directory-chooser)

📋 Changes

• upgraded multisearch-weka-package to 2021.2.17
• upgraded maven-compiler-plugin to 3.10.1
• dropped jide-oss since not compatible with Java 17 (using simple JFileChooser-based directory chooser again)
• upgraded jshell-scripting to 0.1.2

📋 Changes

• upgraded Weka to 3.9.6
• updated URLs in Tutorial

📋 Changes

• fixed `java.lang.Exception: Illegal options: ...` exception, which affected all general options when executing algorithms from the command-line. This was due to a recent change in Weka, which now always performs a check for remaining options. See https://github.com/Waikato/meka/issues/74.

📋 Changes

• upgraded Weka to 3.9.5

📋 Changes

• `MULAN` classifier now has an `renamedAttributes` property which determines whether to rename attributes (for avoiding invalid characters); on by default (as it was current behavior); command-line flag `-no-rename` turns it off
• using updated jide-oss library to avoid problems on Macs
• added ability to change look'n'feel with new *flat* look'n'feel the default
• `.props` files are now read from the MEKA home directory as well (`$HOME/.meka` or `%USERPROFILE%\mekafiles`)
• now based on Weka 3.9.4
• added `-x-out-dir` command-line option for storing the per-fold data of a cross-validation run
• MultiSearch algorithms now show up in the GOE
• Support for scripting via [JShell](https://github.com/fracpete/jshell-scripting)

📝 Documentation

• See http://meka.sourceforge.net/#documentation for sources of documentation regarding MEKA.
• In particular,
• See the `Tutorial.pdf` for detailed information on obtaining, using and extending MEKA.
• For a list of included methods and command line examples for them, see: http://meka.sourceforge.net/methods.html
• For examples on how to use MEKA in your Java code: https://github.com/Waikato/meka/tree/master/src/main/java/mekaexamples
• If you have a specific question, ask on Meka's mailing list
• Check if it is already answered: http://sourceforge.net/mailarchive/forum.php?forum_name=meka-list
• Write it to meka-list@lists.sourceforge.net

📋 Changes in Version 1.9.1

• Added a folder `mekaexamples` with examples of how to use Meka from Java code
• Evaluation can handle missing values
• `BR` now runs faster on large datasets
• `PCC` now outputs probabilistic info (as it should)
• Bug fix with labelset print-outs in evaluation at particular verbosity levels
• Classifier `BaggingMLUpdateableADWIN` removed to free dependence of MOA
• `-T` option is now available for incremental classifiers, evaluating the
• classifier in its current state (or after training with `-t` finished) on
• + 19 more

🐛 Bugs, and Future Enhancements

• A list of current Issues in Meka (known bugs, planned improvements, feature wishlist) can be found at https://github.com/Waikato/meka/issues

📋 Changes

• MEKA's build has been switched over from Apache Ant to Apache Maven.
• Note: this change affects people working with the source code.
• It makes life easier with deploying artifacts to Maven Central automatically
• Better execution of unit tests.
• The Evaluation framework has been heavily reworked
• Evaluation output has been improved, as much in the code as the visual text output (now prettier!).
• Macro and Micro Precision and Recall are added as evaluation metrics
• AUPRC and AUROC are added as evaluation metrics
• + 33 more

📋 Changes

• Fixed a bug which caused Meka to crash when using RandomForest as a base classifier
• Can now visualize certain base classifiers, for example, J48. Just right-click 'Show Graphs' in the GUI results History
• Other improvements to the GUI such as
• an Open Recent option
• a Save Model option to the GUI results History
• MCC classifier (and derivatives) now run faster in the case that no chain-search is made
• OS-specific Meka home directories
• Recent changes are reflected in the tutorial

📋 Changes

• Updateable classifiers are now moved to subfolders incremental/ and incremental/meta
• Updateable classifiers are now set with a sensible default classifier (HoeffdingTree), and BRUpdateable in the case of meta incremental classifiers
• Javadoc comments are cleaned up
• Some unused branches of weka/ and moa/ were removed
• Some overly stringent unit tests were changed
• Recent changes are reflected in the tutorial

📋 Changes

• source code
• weka.jar
• mulan.jar
• datasets