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weka-package from group nz.ac.waikato.cms.moa (version 2024.07.0)

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. This artifact enables you to use MOA from within WEKA.

Group: nz.ac.waikato.cms.moa Artifact: weka-package
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Artifact weka-package
Group nz.ac.waikato.cms.moa
Version 2024.07.0
Last update 18. July 2024
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3
Dependencies amount 1
Dependencies moa,
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networkaddressutils from group ltd.clear-solutions (version 1.0.0)

NetworkAddressUtils is a Java library designed to simplify network programming tasks, specifically focusing on retrieving the IPv4 address of a machine's network interfaces. It provides a straightforward API for developers to obtain the machine's local IP address, which is crucial for various network-based applications, especially those involving intra-network communication.

Group: ltd.clear-solutions Artifact: networkaddressutils
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Artifact networkaddressutils
Group ltd.clear-solutions
Version 1.0.0
Last update 28. January 2024
Organization The Clear Solutions
URL http://www.clear-solutions.ltd
License Mit
Dependencies amount 0
Dependencies No dependencies
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azure-resourcemanager-sqlvirtualmachine from group com.azure.resourcemanager (version 1.0.0-beta.4)

This package contains Microsoft Azure SDK for SqlVirtualMachine Management SDK. For documentation on how to use this package, please see https://aka.ms/azsdk/java/mgmt. The SQL virtual machine management API provides a RESTful set of web APIs that interact with Azure Compute, Network & Storage services to manage your SQL Server virtual machine. The API enables users to create, delete and retrieve a SQL virtual machine, SQL virtual machine group or availability group listener. Package tag package-preview-2022-08.

Group: com.azure.resourcemanager Artifact: azure-resourcemanager-sqlvirtualmachine
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Artifact azure-resourcemanager-sqlvirtualmachine
Group com.azure.resourcemanager
Version 1.0.0-beta.4
Last update 13. June 2023
Organization not specified
URL https://github.com/Azure/azure-sdk-for-java
License The MIT License (MIT)
Dependencies amount 2
Dependencies azure-core, azure-core-management,
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data-science from group org.odpi.egeria (version 3.15)

The Data Science Open Metadata Access Service (OMAS) provides APIs and events for tools and applications focused on building all types of analytics models such as predictive models and machine learning models. It provides the ability to define the purpose and requirements for a model, along with lineage and audit information relating to the development and validation process associated with the model.

Group: org.odpi.egeria Artifact: data-science
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Artifact data-science
Group org.odpi.egeria
Version 3.15
Last update 31. January 2023
Organization not specified
URL Not specified
License not specified
Dependencies amount 0
Dependencies No dependencies
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moa-kafka from group nz.ac.waikato.cms.adams (version 2022.10.17)

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. This artifact enables you to stream data to MOA from Kafka.

Group: nz.ac.waikato.cms.adams Artifact: moa-kafka
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Artifact moa-kafka
Group nz.ac.waikato.cms.adams
Version 2022.10.17
Last update 17. October 2022
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3
Dependencies amount 2
Dependencies moa, kafka-clients,
There are maybe transitive dependencies!

weka-package from group nz.ac.waikato.cms.adams (version 2022.10.17)

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. This artifact enables you to use MOA from within WEKA.

Group: nz.ac.waikato.cms.adams Artifact: weka-package
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Artifact weka-package
Group nz.ac.waikato.cms.adams
Version 2022.10.17
Last update 17. October 2022
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3
Dependencies amount 1
Dependencies moa,
There are maybe transitive dependencies!

moa from group nz.ac.waikato.cms.adams (version 2022.10.17)

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. ADAMS fork.

Group: nz.ac.waikato.cms.adams Artifact: moa
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Artifact moa
Group nz.ac.waikato.cms.adams
Version 2022.10.17
Last update 17. October 2022
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3.0
Dependencies amount 16
Dependencies weka-dev, sizeofag, guava, jclasslocator, jshell-scripting, meka, commons-math3, opencsv, commons-cli, commons-io, jfreechart, gson, ssj, JMathPlot, JMathIO, slf4j-log4j12,
There are maybe transitive dependencies!

moa-pom from group nz.ac.waikato.cms.adams (version 2022.10.17)

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. ADAMS fork.

Group: nz.ac.waikato.cms.adams Artifact: moa-pom
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0 downloads
Artifact moa-pom
Group nz.ac.waikato.cms.adams
Version 2022.10.17
Last update 17. October 2022
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!

meka from group net.sf.meka (version 1.9.7)

The MEKA project provides an open source implementation of methods for multi-label classification and evaluation. It is based on the WEKA Machine Learning Toolkit. Several benchmark methods are also included, as well as the pruned sets and classifier chains methods, other methods from the scientific literature, and a wrapper to the MULAN framework.

Group: net.sf.meka Artifact: meka
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18 downloads
Artifact meka
Group net.sf.meka
Version 1.9.7
Last update 16. October 2022
Organization not specified
URL http://meka.sourceforge.net/
License GNU General Public License 3
Dependencies amount 13
Dependencies weka-dev, mulan, mst, flatlaf, jfilechooser-bookmarks, jclipboardhelper, jshell-scripting, jama, trove4j, bmad, autoencoder, markdownj-core, multisearch-weka-package,
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MaDKitLanEditionDemos from group com.distrimind.madkitdemos (version 1.0.42)

MaDKit is an open source multiagent-based development platform written in Java. MaDKitLanEdition Advanced network futures which enables to connect several peers between them, and emulate a secured multi-agent system that virtually evolves into the same environment, i.e. the same virtual machine.

Group: com.distrimind.madkitdemos Artifact: MaDKitLanEditionDemos
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0 downloads
Artifact MaDKitLanEditionDemos
Group com.distrimind.madkitdemos
Version 1.0.42
Last update 10. April 2022
Organization DistriMind
URL https://github.com/JasonMahdjoub/MaDKitLanEdition
License CeCILL-C FREE SOFTWARE LICENSE AGREEMENT
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!



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