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This subproject provides a home to modules contributed by external developers which may or may not move into the officially supported code base over time. A module in this subproject doesn't have to obey the rule of staying binary compatible between minor releases. Breaking API changes may be introduced in minor releases without notice as we refine and simplify based on your feedback. A module may be dropped in any release without prior deprecation. The Typesafe subscription does not cover support for these modules.

POJava DateTime is a simple, light-weight Java-based API for parsing and manipulating dates. It parses dates from most languages and formats out of the box without having to specify which format is expected. Defaults such as time zones, and whether to interpret an internationally ambiguous date like "03/06/2014" as DMY order or MDY order are inferred by system time zone and locale and stored in a default config object that can be replaced or overridden. Multiple languages for month names are supported without any additional configuration needed.

This module exists solely to package all other jre modules into a single uber jar. This makes deploying to non-mavenized targets much easier. Of course, you would be wise to inherit your dependencies individually; the uber jar is intended for projects like collide, which have complex configuration, and adding many jars would be a pain. It also allows dependent modules to discover new features, as modules graduate from labs to final, they will be added here. As you type X_, autocomplete will expose newly added services.

This is the main aggregator for all implementation code shared between modules. Each module contains one or more service interfaces, exposed statically using "X_" prefixed classes. Core modules will define their API interfaces, their static accessor, and often a "plain-jre" default implementation which can be replaced by injection override. There must be zero external dependencies in any core modules. A low-performance, low-feature default is preferred over thick, dependency-ridden shared inherits.

A set of reflection utilities and miscellaneous utilities related to working with classes and their fields with no dependencies which is compatible with java 1.5 and generics. The package was originally created by Aaron Zeckoski for the Sakai Project and Generic DAO project but was repackaged to make it distributable by request. It is used in the RSF framework (http://www2.caret.cam.ac.uk/rsfwiki/) and the EntityBroker among other things. Note about the BeanUtils provided dependency: BeanUtils is not required if you are not using it in your project. Note about the Hibernate provided dependency: Hibernate is not required if you are not using it in your project.

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.

RBFNetwork implements a normalized Gaussian radial basisbasis function network. It uses the k-means clustering algorithm to provide the basis functions and learns either a logistic regression (discrete class problems) or linear regression (numeric class problems) on top of that. Symmetric multivariate Gaussians are fit to the data from each cluster. If the class is nominal it uses the given number of clusters per class. RBFRegressor implements radial basis function networks for regression, trained in a fully supervised manner using WEKA's Optimization class by minimizing squared error with the BFGS method. It is possible to use conjugate gradient descent rather than BFGS updates, which is faster for cases with many parameters, and to use normalized basis functions instead of unnormalized ones.

Rserve is a TCP/IP server which allows other programs to use facilities of R (see www.r-project.org) from various languages without the need to initialize R or link against R library. Every connection has a separate workspace and working directory. Client-side implementations are available for popular languages such as C/C++, PHP and Java. Rserve supports remote connection, authentication and file transfer. Typical use is to integrate R backend for computation of statstical models, plots etc. in other applications.

ATG DUST is a framework for building JUnit tests for applications built on the ATG Dynamo platform. This framework allows one to quickly write test code that depends up Nucleus or ATG Repositories. By using this framework one can drastically cut down on development time. It takes only a few seconds to start up a test with a repository, but it may take multiple minutes to start up an application server. To get started with DUST, take a look at http://atgdust.sourceforge.net/first-test.html. This page will walk you through the process of running a basic test which starts Nucleus. After that, read the other getting started guides to describe how to create standalone Junit tests which can startup repositories and use the DynamoHttpServletResponse classes. For only ATG10 and tested.

Evaluates the worth of a subset of attributes by the level of consistency in the class values when the training instances are projected onto the subset of attributes. The consistency of any subset can never be lower than that of the full set of attributes, hence the usual practice is to use this subset evaluator in conjunction with a Random or Exhaustive search which looks for the smallest subset with consistency equal to that of the full set of attributes. See: H. Liu, R. Setiono: A probabilistic approach to feature selection - A filter solution. In: 13th International Conference on Machine Learning, 319-327, 1996.