fracpete has posted 3 projects.


Logo ADAMS 0.4.4

by fracpete - October 25, 2013, 04:10:47 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4528 views, 1044 downloads, 1 subscription

About: The Advanced Data mining And Machine learning System (ADAMS) is a novel, flexible workflow engine aimed at quickly building and maintaining real-world, complex knowledge workflows.

Changes:
  • Added 30 more conversions and 70 more actors
  • new timeseries module, includes Weka's Forecasting plugin
  • OCR support using TesseractOCR wrapper
  • extended JSON support (value extraction using JSON path)
  • support for processing XML/HTML (DOM generation, XSLT, XPath)
  • SQL-like query language for spreadsheets
  • generic support Java properties files (read/write/modify)
  • generic serialization support
  • support for sequence plotter overlays
  • basic WebServer capability (using Jetty)
  • CSV file reader/writer now support file encodings (eg UTF-8, UTF-16)

Logo KeplerWeka 20101008

by fracpete - October 9, 2010, 05:27:13 CET [ Project Homepage BibTeX Download ] 8320 views, 2935 downloads, 1 subscription

About: KeplerWeka represents the integration of all the functionality of the WEKA Machine Learning Workbench into the open-source scientific workflow Kepler. Among them are classification, [...]

Changes:
  • Now compatible with Kepler 2.0
  • New version of WEKA included (patched 3.7.2 release), WEKA's new package manager works in conjunction with Kepler
  • Renamed actor Count to ConditionalTee, introduced new Count actor
  • Removed actors OutputLogger, MultiSync, TwinSync

Logo BenchMarking Via Weka 0.0.4

by fracpete - December 4, 2008, 01:15:15 CET [ Project Homepage BibTeX Download ] 6437 views, 1109 downloads, 0 comments, 2 subscriptions

About: BenchMarking Via Weka is a client-server architecture that supports interoperability between different machine learning systems. Machine learning systems need to provide mechanisms for processing [...]

Changes:

Initial Announcement on mloss.org.