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Spring Retry provides an abstraction around retrying failed operations, with an emphasis on declarative control of the process and policy-based bahaviour that is easy to extend and customize. For instance, you can configure a plain POJO operation to retry if it fails, based on the type of exception, and with a fixed or exponential backoff.

This project provides an abstraction around retrying failed operations, with an emphasis on declarative control of the process and policy-based behaviour that is easy to extend and customize. For instance, you can configure a plain POJO operation to retry if it fails, based on the type of exception, and with a fixed or exponential backoff.

JFlat's purpose is to convert flat files to Java Beans and vice versa. Some supported formats are CSV, fixed-width, arbitrary delimiters, and excel files. There are also tools to generate Java Beans to/from JDBC and Swing tables. JFlat is highly extensible and can be adopted to support additional formats.

An SLF4J log provider that directly implements the SLF4J API and provides logging output suitable for console output (i.e. not to a file). The width of the output is restricted to the terminal width, with the possibility to split the width into multiple sections, each which may be a fixed width, or 'auto' which divides all remaining space amongst other automative sections. Any log attribute fields may then be placed in any of the sections with a particular alignment. Text will not overflow out of its section. Sections may be colour or styled with other text attributes, including hyperlinks for supported termins. Emoticons and other graphical sequences may be used in place of log levels. Configuration is achieved via 'ini' type files, which are reload automatically when changed.

A simple meta-classifier that uses a clusterer for classification. For cluster algorithms that use a fixed number of clusterers, like SimpleKMeans, the user has to make sure that the number of clusters to generate are the same as the number of class labels in the dataset in order to obtain a useful model. Note: at prediction time, a missing value is returned if no cluster is found for the instance. The code is based on the 'clusters to classes' functionality of the weka.clusterers.ClusterEvaluation class by Mark Hall.

This is an endorsed version of the original Deployment Client for Oracle GlassFish Open Source Edition. The purpose of the endorsement is to provide a shaded JAR which has the OSGI meta data removed because it causes the original Deployment Client to fail when used within a module running within a GlassFish container due to some class loader configuration conflicts between the container and the deployed module. This issue has been reported to the GlassFish project at https://java.net/jira/browse/GLASSFISH-20856 . It is hoped that it can get fixed so that this workaround project can get deprecated soon.

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.

MOCCA is the Message-Oriented Command and Context Architecture, providing a GLUE middle-ware that allows sending commands to a peer which are executed by state-less handlers in a specific context. In contrast to the Request-Response scheme the message flow is not fixed by the framework. This allows to implement different communication paradigms (including Request-Response). The whole system can be seen as an automaton with Messages that trigger state transitions in the local Contexts. This library contains the core components, including the GLUE-based implementation.

Extension of BestFirst. Takes a restricted number of k attributes into account. Fixed-set selects a fixed number k of attributes, whereas k is increased in each step when fixed-width is selected. The search uses either the initial ordering to select the top k attributes, or performs a ranking (with the same evalutator the search uses later on). The search direction can be forward, or floating forward selection (with opitional backward search steps). For more information see: Martin Guetlein (2006). Large Scale Attribute Selection Using Wrappers. Freiburg, Germany.