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ensemblesOfNestedDichotomies from group nz.ac.waikato.cms.weka (version 1.0.6)

A meta classifier for handling multi-class datasets with 2-class classifiers by building an ensemble of nested dichotomies. For more info, check Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005. Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for multi-class problems. In: Twenty-first International Conference on Machine Learning, 2004.

Group: nz.ac.waikato.cms.weka Artifact: ensemblesOfNestedDichotomies
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Artifact ensemblesOfNestedDichotomies
Group nz.ac.waikato.cms.weka
Version 1.0.6
Last update 21. February 2017
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/ensemblesOfNestedDichotomies
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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jaxb2-rich-contract-plugin from group com.klemm-scs.util (version 1.5.3)

Provides a number of plugins for the JAXB (Java API for XML binding) XML-Schema-to-Java compiler (XJC), that enhance the generated source code with various and configurable aspects, like "fluent builder" patterns, generating interface contracts from group and attributeGroup declarations, generating JavaBeans(TM) bound and constrained properties, copy methods and -constructors, selective object graph copying, meta data generation etc.

Group: com.klemm-scs.util Artifact: jaxb2-rich-contract-plugin
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Artifact jaxb2-rich-contract-plugin
Group com.klemm-scs.util
Version 1.5.3
Last update 25. February 2015
Organization not specified
URL http://mklemm.github.io/jaxb2-rich-contract-plugin
License not specified
Dependencies amount 0
Dependencies No dependencies
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costSensitiveAttributeSelection from group nz.ac.waikato.cms.weka (version 1.0.3)

This package provides two meta attribute selection evaluators - one for performing cost-sensitive attribute evaluation (CostSensitiveAttributeEval) and a second for performing cost-sensitive subset evaluation (CostSensitiveSubsetEval). Both methods take a cost matrix and a base evaluator. If the base evaluator can handle instance weights, then the training data is weighted according to the cost matrix, otherwise the training data is sampled according to the cost matrix.

Group: nz.ac.waikato.cms.weka Artifact: costSensitiveAttributeSelection
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Artifact costSensitiveAttributeSelection
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 29. April 2014
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/costSensitiveAttributeSelection
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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automata-modelchecking-m3c from group net.automatalib (version 0.11.0)

This artifact provides the implementation of the model checker presented in the paper "M3C: Modal Meta Model Checking" (https://dx.doi.org/10.1007/978-3-030-00244-2_15) by Bernhard Steffen and Alnis Murtovi. The paper is based on "Model Checking for Context-Free Processes" (https://link.springer.com/chapter/10.1007/BFb0084787) by Olaf Burkart and Bernhard Steffen. Note that this implementation requires a runtime dependency to a specific ADDLib backend (see https://add-lib.scce.info/), which is not explicitly included in this artifact due to packaging reasons.

Group: net.automatalib Artifact: automata-modelchecking-m3c
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Artifact automata-modelchecking-m3c
Group net.automatalib
Version 0.11.0
Last update 06. November 2023
Organization not specified
URL Not specified
License not specified
Dependencies amount 7
Dependencies automata-api, automata-commons-util, automata-core, guava, addlib-core, checker-qual, testng,
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kernel from group io.nuun.kernel (version 1.0.M11)

Nuun Kernel is a software kernel for framework creation. It brings a powerful plugin design plus a JSR 330 compliant injection mechanism backed by Guice. Plugin benefits from kernel capabilities by sending requests to it : - kernel params request : - Classpath scans request :on class by name, annotation, meta annotation or more generally Predicate - Binding Request : Nuun Kernel provides an SPI in order to bring IOC from other vendors. Nuun Kernel come with 2 plugins: - Configuration Plugin : a plugin that inject the good property based on @Property annotation. - Log plugin : a Log handler that inject the good Log implementation

Group: io.nuun.kernel Artifact: kernel
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Artifact kernel
Group io.nuun.kernel
Version 1.0.M11
Last update 05. August 2020
Organization not specified
URL http://nuun.io/kernel
License LGPL 3.0
Dependencies amount 0
Dependencies No dependencies
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beigesoft-webcrud from group org.beigesoft (version 1.1.8)

This is CRUD interface based on standard JEE MVC servlet, JSP, JSTL. It renders forms and lists of any entity according XML settings (Beige-Settings). Database logic is handled by Beige-ORM. It also includes Mail-sender and database replicator through WEB-service. It is SQLite configured. Put WAR file into Tomcat7 webapps, make sure that Tomcat has libraries: HikariCP-2.4.3.jar, sqlite-jdbc-3.8.11.2.jar, slf4j-api-1.7.12.jar (versions may be different), for MS Windows change file separator in META-INF\context.xml connectionURL from "/" to "\" and reassemble WAR. Beigesoft-Accounting-Web extends it into very complex business application.

Group: org.beigesoft Artifact: beigesoft-webcrud
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Artifact beigesoft-webcrud
Group org.beigesoft
Version 1.1.8
Last update 11. February 2019
Organization not specified
URL https://sites.google.com/site/beigesoftware
License GNU General Public License version 2
Dependencies amount 3
Dependencies beigesoft-webcrud-jar, taglibs-standard-spec, taglibs-standard-impl,
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ordinalClassClassifier from group nz.ac.waikato.cms.weka (version 1.0.5)

Meta classifier that allows standard classification algorithms to be applied to ordinal class problems. For more information see: Eibe Frank, Mark Hall: A Simple Approach to Ordinal Classification. In: 12th European Conference on Machine Learning, 145-156, 2001. Robert E. Schapire, Peter Stone, David A. McAllester, Michael L. Littman, Janos A. Csirik: Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation. In: Machine Learning, Proceedings of the Nineteenth International Conference (ICML 2002), 546-553, 2002.

Group: nz.ac.waikato.cms.weka Artifact: ordinalClassClassifier
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Artifact ordinalClassClassifier
Group nz.ac.waikato.cms.weka
Version 1.0.5
Last update 06. December 2017
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/ordinalClassClassifier
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

classificationViaClustering from group nz.ac.waikato.cms.weka (version 1.0.7)

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.

Group: nz.ac.waikato.cms.weka Artifact: classificationViaClustering
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Artifact classificationViaClustering
Group nz.ac.waikato.cms.weka
Version 1.0.7
Last update 26. November 2017
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/classificationViaClustering
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

csv from group no.laukvik (version 0.9.3)

LaukvikCSV is a powerful API for reading, writing and querying tabular data stored in the CSV format. In contrast to other API it lets you specify data types for each column using meta data. It automatically detects delimiters so you don't have to worry about delimiters being comma, tab, pipe, semicolon etc. Run powerful queries to filter your data easily with a fluid query language thats type safe. Export your tabular data to CSV, JSON, XML and HTML.

Group: no.laukvik Artifact: csv
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Artifact csv
Group no.laukvik
Version 0.9.3
Last update 27. May 2017
Organization not specified
URL https://github.com/laukvik/CSV
License The Apache Software License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
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kernel from group io.nuun (version 1.0.M9)

Nuun Kernel is a software kernel for framework creation. It brings a powerful plugin design plus a JSR 330 compliant injection mechanism backed by Guice. Plugin benefits from kernel capabilities by sendings request to it : - kernel params request : - Classpath scans request :on class by name, annotation, meta annotation or more generally Predicate - Binding Request : Nuun Kernel provides an SPI in order to bring IOC from other vendors. Nuun Kernel come with 2 plugins: - Configuration Plugin : a plugin that inject the good property based on @Property annotation. - Log plugin : a Log handler that inject the good Log implementation

Group: io.nuun Artifact: kernel
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Artifact kernel
Group io.nuun
Version 1.0.M9
Last update 23. April 2016
Organization not specified
URL http://nuun.io/kernel
License LGPL 3.0
Dependencies amount 1
Dependencies slf4j-api,
There are maybe transitive dependencies!

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