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cloudpool.aws.autoscaling from group com.elastisys.scale (version 5.2.3)

A cloud pool capable of managing the capacity of AWS Auto Scaling Groups. This build module produces an all-in-one "server and application" executable jar file. When executed, it starts an embedded web server that publishes the cloud pool REST API endpoint.

Group: com.elastisys.scale Artifact: cloudpool.aws.autoscaling
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Artifact cloudpool.aws.autoscaling
Group com.elastisys.scale
Version 5.2.3
Last update 06. May 2019
Organization not specified
URL Not specified
License not specified
Dependencies amount 6
Dependencies cloudpool.api, cloudpool.multipool, cloudpool.aws.commons, cloudpool.commons, logback-classic, junit,
There are maybe transitive dependencies!

gatling-aws-maven-plugin from group com.ea.gatling (version 1.0.17)

The Gatling AWS Maven plugin takes the pain out of scaling up your Gatling tests. It runs your load test on a configurable number of EC2 instances, aggregates a single load test report, and uploads the results to S3. All EC2 instances are terminated at the end of the test to ensure you are only paying for what you need.

Group: com.ea.gatling Artifact: gatling-aws-maven-plugin
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Artifact gatling-aws-maven-plugin
Group com.ea.gatling
Version 1.0.17
Last update 09. August 2018
Organization Electronic Arts Inc
URL https://github.com/electronicarts/gatling-aws-maven-plugin
License The BSD 3-Clause License
Dependencies amount 4
Dependencies aws-java-sdk-ec2, aws-java-sdk-s3, sshj, maven-plugin-api,
There are maybe transitive dependencies!

cloudadapters.openstack from group com.elastisys.scale (version 2.0.1)

A cloud adapter capable of managing a scaling group of OpenStack servers. This build module produces an all-in-one "server and application" executable jar file. When executed, it starts an embedded web server that publishes the cloud adapter REST API endpoint.

Group: com.elastisys.scale Artifact: cloudadapters.openstack
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2 downloads
Artifact cloudadapters.openstack
Group com.elastisys.scale
Version 2.0.1
Last update 03. March 2015
Organization not specified
URL Not specified
License not specified
Dependencies amount 7
Dependencies cloudadapters.api, cloudadapters.commons, openstack-nova, jclouds-slf4j, commons.util, logback-classic, junit,
There are maybe transitive dependencies!

cloudadapters.aws.ec2 from group com.elastisys.scale (version 2.0.1)

A cloud adapter capable of managing a scaling group of EC2 instances. This build module produces an all-in-one "server and application" executable jar file. When executed, it starts an embedded web server that publishes the cloud adapter REST API endpoint.

Group: com.elastisys.scale Artifact: cloudadapters.aws.ec2
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Artifact cloudadapters.aws.ec2
Group com.elastisys.scale
Version 2.0.1
Last update 03. March 2015
Organization not specified
URL Not specified
License not specified
Dependencies amount 6
Dependencies cloudadapters.api, cloudadapters.commons, cloudadapters.aws.commons, commons.util, logback-classic, junit,
There are maybe transitive dependencies!

cloudadapters.aws.autoscaling from group com.elastisys.scale (version 2.0.1)

A cloud adapter capable of managing the capacity of AWS Auto Scaling Groups. This build module produces an all-in-one "server and application" executable jar file. When executed, it starts an embedded web server that publishes the cloud adapter REST API endpoint.

Group: com.elastisys.scale Artifact: cloudadapters.aws.autoscaling
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0 downloads
Artifact cloudadapters.aws.autoscaling
Group com.elastisys.scale
Version 2.0.1
Last update 03. March 2015
Organization not specified
URL Not specified
License not specified
Dependencies amount 5
Dependencies cloudadapters.api, cloudadapters.aws.commons, cloudadapters.commons, logback-classic, junit,
There are maybe transitive dependencies!

naiveBayesTree from group nz.ac.waikato.cms.weka (version 1.0.2)

Class for generating a decision tree with naive Bayes classifiers at the leaves. For more information, see Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

Group: nz.ac.waikato.cms.weka Artifact: naiveBayesTree
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Artifact naiveBayesTree
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/naiveBayesTree
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

moa-kafka 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 stream data to MOA from Kafka.

Group: nz.ac.waikato.cms.moa Artifact: moa-kafka
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Artifact moa-kafka
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 2
Dependencies moa, kafka-clients,
There are maybe transitive dependencies!

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,
There are maybe transitive dependencies!

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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0 downloads
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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0 downloads
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!


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