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SynapseGrid is a framework for constructing reactive real-time immutable data flow systems. -core contains everything to run a single-threaded system, -akka contains everything to run systems over Akka actors, -slf4j - enables logging, -concurrent - running systems directly over ExecutorContext without the need for Akka, -examples - a few test systems. Also there are -frames - a framework for type construction with meta information (see relations.scala). -typed-expressions - a framework for defining parsers and generators for natural language. The current version is 1.4.0

SynapseGrid is a framework for constructing reactive real-time immutable data flow systems. -core contains everything to run a single-threaded system, -akka contains everything to run systems over Akka actors, -slf4j - enables logging, -concurrent - running systems directly over ExecutorContext without the need for Akka, -examples - a few test systems. Also there are -frames - a framework for type construction with meta information (see relations.scala). -typed-expressions - a framework for defining parsers and generators for natural language. The current version is 1.4.0

SynapseGrid is a framework for constructing reactive real-time immutable data flow systems. -core contains everything to run a single-threaded system, -akka contains everything to run systems over Akka actors, -slf4j - enables logging, -concurrent - running systems directly over ExecutorContext without the need for Akka, -examples - a few test systems. Also there are -frames - a framework for type construction with meta information (see relations.scala). -typed-expressions - a framework for defining parsers and generators for natural language. The current version is 1.4.0

SynapseGrid is a framework for constructing reactive real-time immutable data flow systems. -core contains everything to run a single-threaded system, -akka contains everything to run systems over Akka actors, -slf4j - enables logging, -concurrent - running systems directly over ExecutorContext without the need for Akka, -examples - a few test systems. Also there are -frames - a framework for type construction with meta information (see relations.scala). -typed-expressions - a framework for defining parsers and generators for natural language. The current version is 1.4.0

SynapseGrid is a framework for constructing reactive real-time immutable data flow systems. -core contains everything to run a single-threaded system, -akka contains everything to run systems over Akka actors, -slf4j - enables logging, -concurrent - running systems directly over ExecutorContext without the need for Akka, -examples - a few test systems. Also there are -frames - a framework for type construction with meta information (see relations.scala). -typed-expressions - a framework for defining parsers and generators for natural language. The current version is 1.4.0

SynapseGrid is a framework for constructing reactive real-time immutable data flow systems. -core contains everything to run a single-threaded system, -akka contains everything to run systems over Akka actors, -slf4j - enables logging, -concurrent - running systems directly over ExecutorContext without the need for Akka, -examples - a few test systems. Also there are -frames - a framework for type construction with meta information (see relations.scala). -typed-expressions - a framework for defining parsers and generators for natural language. The current version is 1.4.0

GWTUpload is a library for uploading files to web servers, showing a progress bar with real information about the process (file size, bytes transferred, etc). It uses ajax requests to ask the web server for the upload progress. It has two components written in java, the server side with servlet and utility classes, and the client side that is compiled into javascript using gwt. GWTUpload-gae is a library with aditional classes needed for using GwtUpload in Google Application Engine (GAE). JSUpload is the client library but compiled and exported into javascript, so users without Gwt skills can use it directly in their web pages. It includes a bunch of useful examples to learn how to use the library and see its features.

This powerful reporting library aims to simplify producing reports using iText. Looking at producing reports with iText the most demanding tasks are how to get from data to report blocks, how to style those blocks and how to evaluate (debug) the resulting report. Exactly those three major tasks are well supported by the VectorPrint report library: - (combination of) xml configuration and annotations to transform existing Java data objects into report block - provide styling information (css like) seperate from code - a firebug like debug mode to help evaluate your report.

Class for building and using a decision table/naive bayes hybrid classifier. At each point in the search, the algorithm evaluates the merit of dividing the attributes into two disjoint subsets: one for the decision table, the other for naive Bayes. A forward selection search is used, where at each step, selected attributes are modeled by naive Bayes and the remainder by the decision table, and all attributes are modelled by the decision table initially. At each step, the algorithm also considers dropping an attribute entirely from the model. For more information, see: Mark Hall, Eibe Frank: Combining Naive Bayes and Decision Tables. In: Proceedings of the 21st Florida Artificial Intelligence Society Conference (FLAIRS), 318-319, 2008.

This meta classifier creates a number of disjoint, stratified folds out of the data and feeds each chunk of data to a copy of the supplied base classifier. Predictions are made via majority vote, since all the generated base classifiers are put into the Vote meta classifier. Useful for base classifiers that are quadratic or worse in time behavior, regarding number of instances in the training data. For more information, see: Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.