GPS format conversions
Just published the first release of my little Java library for converting GPS formats: gpsformats4j You can find the repository and more information/example usage here: https://github.com/fracpete/gpsformats4j
Open-Source and related Stuff
Just published the first release of my little Java library for converting GPS formats: gpsformats4j You can find the repository and more information/example usage here: https://github.com/fracpete/gpsformats4j
As promised, a release before Xmas: 16.2.1 Release notes (with download links): https://adams.cms.waikato.ac.nz/download/16-12-1/ Or directly on sf.net: https://sourceforge.net/projects/theadamsflow/files/16.12.1/ Have a great Xmas break and I’ll see you guys in the new year! Changes Some highlights: Over 80 new actors, nearly…
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When we were hosting ACML 2016 in November here at Waikato, I had the honor of generating the conference proceedings (based on LaTeX sources). Back then, I used a mixture of bash scripting and ADAMS workflows to get that done,…
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Just resurrected an abandoned project on Google Code: Fast Random Forest It promises speed and memory improvements over Weka‘s RandomForest implementation. Therefore I turned it into a proper Weka package and made it available on my github account: https://github.com/fracpete/fastrandomforest-weka-package
Thanks to a contribution from Michel Oleynik, adding ptstemmer v2 support, I was able to make a new release of the ptstemmer package for Weka: https://github.com/fracpete/ptstemmer-weka-package/releases/tag/v2.0.0
Just hacked together a simple library for reading Quicken Interchange Format (QIF) files. Called it quicken4j and made it available on Github and Maven Central: https://github.com/fracpete/quicken4j
Spent today extending the missing-values-imputation Weka package and added the following algorithms: MultiImputation SimpleNearestNeighbor UserSuppliedValues IRMI based on Chris Beckham’s code Still a bit alpha, so bear that in mind when running experiments. 😉
Weka only has its ReplaceMissingValues filter for dealing with missing values, which just uses means and modes as replacement. However, this approach is not always the best. Hence I started on a Weka package project some time ago to offer…
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Anyone, who ever had to deal with Weka‘s option handling, knows that it is extremely error prone and cumbersome. The main reason is the separate handling of options through command-line and GUI. This results in duplicate text for options, different…
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So, far the multisearch package didn’t allow you to specify what class label the metric (like F1, recall or precision) was optimizing, it was hardcoded to be the first one. With the 2016.6.6 release of the package, the MultiSearch classifier…
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