Description:

ADAMS is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes.

Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators determine how data is processed (sequentially/parallel). This allows rapid development and easy maintenance of large workflows, with hundreds or thousands of operators.

Operators include machine learning (WEKA, MOA, MEKA, deeplearning4j) and image processing (ImageJ, JAI, BoofCV, OpenImaJ,LIRE, ImageMagick and Gnuplot). R available using Rserve. WEKA webservice allows other frameworks to use WEKA models. Fast prototyping with Groovy and Jython. Read/write support for various databases and spreadsheet applications.

Changes to previous version:

Some highlights:

• Over 80 new actors, nearly 30 new conversions
• Weka Investigator -- the big brother of the Weka Explorer, or how to be more efficient with less clicks using multiple datasets in multiple sessions and multiple predefined outputs per evaluation run
• Weka Multi-Experimenter -- simple interface for running Weka and ADAMS experiments.
• File commander -- dual-pane file manager (inspired by Norton/Midnight commander) that allows you to manage local and remote files (ftp, sftp, smb); usually faster than native file managers (like Windows Explorer, Nautilus, Caja) in terms of handling 10s of thousand of files in a single directory
• experimental deeplearning4j module
• module for querying/consuming webservices using Groovy
• basic terminal-based GUI for remote machines (eg cloud)
• many interactive actors can be used in headless environment now as well
• Fixed a memory leak introduced by Java's logging framework
• Flow editor now has predefined rules for swapping actors, e.g. Trigger with Tee or ConditionalTrigger, maintaining as many options as possible (including any sub-actors).
• improved imaging and PDF support

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: Arff, Csv, Tab Separated, Libsvm, Xrff, Excel, Odf, Xls, Xlsx

Tags: R, Workflow, Weka, Image Processing, Webservice, Moa, Gis, Openstreetmap, Meka

Archive: download here

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