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This package contains a classifier that can be used to train a two-class kernel logistic regression model with the kernel functions that are available in WEKA. It optimises the negative log-likelihood with a quadratic penalty. Both, BFGS and conjugate gradient descent, are available as optimisation methods, but the former is normally faster. It is possible to use multiple threads, but the speed-up is generally very marginal when used with BFGS optimisation. With conjugate gradient descent optimisation, greater speed-ups can be achieved when using multiple threads. With the default kernel, the dot product kernel, this method produces results that are close to identical to those obtained using standard logistic regression in WEKA, provided a sufficiently large value for the parameter determining the size of the quadratic penalty is used in both cases.

This package supports the parsing of AIS messages in Java. AIS, the Automatic Identification System, is a system aiming at improving maritime safety by exchanging messages between ships, other vehicles in particular aircraft involved in search-and-rescue (SAR), and (fixed) base stations. To be precise, this package support the ITU-R M.1371-4 AIS standard. See our extensive javadoc and in particular the class AISParser for more information on how to use this package. The parser was used in the Poseidon project, and is improved in the Metis project to better handle uncertain information. Both projects were led by the Embedded Systems Institute. In both projects Thales Nederlands was the carrying industrial partner, and multiple Dutch universities participated.

Automated management of Jenkins jobs via Maven. Much of the information needed by Jenkins when creating a job is already in the Maven pom. The SCM information and CI url are present. Jenkins jobs also typically have names that reflect the groupId, artifactId, and version in some manner. This plugin automates the process of creating Jenkins jobs by harvesting information from the POM to create XML config files in the format Jenkins needs. The Jenkins CLI API is then used to create, update, read, and delete Jenkins jobs on the CI server. If your Jenkins instance requires authentication, add your public key to your user account on the Jenkins server.

This module contains a classpath scanner, and bytecode reader. It is useful in any java runtime environment, and allows java code to parse bytecode into a meta structure of classes, annotations, methods and fields. This meta structure is used throughout xapi to allow us to extend java structures in a cross-platform compliant way (exposing services and service objects so you can hack support for whatever runtime you need). It is especially useful for fast runtime injection, and as an extensible structure during codegen (which exposes mutable interfaces for our meta structure)

JmDNS is a Java implementation of multi-cast DNS and can be used for service registration and discovery in local area networks. JmDNS is fully compatible with Apple's Bonjour. The project was originally started in December 2002 by Arthur van Hoff at Strangeberry. In November 2003 the project was moved to SourceForge, and the name was changed from JRendezvous to JmDNS for legal reasons. Many thanks to Stuart Cheshire for help and moral support.

This metaclassifier makes its base classifier cost-sensitive using the method specified in Pedro Domingos: MetaCost: A general method for making classifiers cost-sensitive. In: Fifth International Conference on Knowledge Discovery and Data Mining, 155-164, 1999. This classifier should produce similar results to one created by passing the base learner to Bagging, which is in turn passed to a CostSensitiveClassifier operating on minimum expected cost. The difference is that MetaCost produces a single cost-sensitive classifier of the base learner, giving the benefits of fast classification and interpretable output (if the base learner itself is interpretable). This implementation uses all bagging iterations when reclassifying training data (the MetaCost paper reports a marginal improvement when only those iterations containing each training instance are used in reclassifying that instance).

A Maven Mojo to download and "degenerate" non-maven projects into sources and binaries This MOJO is supposed to scrape and "de-generate" a zip file containing jars into a project's generated-sources folder, skipping items provided in the `src/` folder. It is intended to "mavenize-with-changes" an existing project and allow the user (of the Mojo) to replace classes which they do not have the ability/desire to recompile without setting up a full build. It can also be used to import non-maven projects by not changing anything. The itch I wanted to scratch was mostly to port libGDX to Maven, while replacing the native methods on Matrix4, without rebuilding the whole project. In essence - it's an alternative to patching someone else's project.

The ServiceMix Drools component provides JBI integration to the Drools Rules Engine. It can be used to deploy a rules set that will implement a router or an actual service. A router will mostly act as a transparent proxy between the consumer and the target service provider mad will mostly be implemented by the jbi.route(uri) method below. This method creates a new exchange identical to the one received by the component and will send it to the specified destination. You can also send back a Fault if needed. A router can also be implemented by using directly the JBI Apis (available with the jbi helper) by using the provided client.

OpenCL4Java is a thin Java wrapper around OpenCL's C API. It uses JNA as its interop layer library, which means it works on all of the (many) JNA-supported platforms (see http://jna.dev.java.net/). It is autogenerated by JNAerator (http://jnaerator.googlecode.com/), so updates to newer OpenCL specs are a matter of seconds. Note that OpenCL4Java is used by JavaCL, an Object-Oriented API that presents OpenCL in a much more practical, powerful and idiomatic way to Java. For more info, please visit http://code.google.com/p/nativelibs4java/wiki/OpenCL.