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ff4j-webapi-jersey2x from group org.ff4j (version 1.9)

Group: org.ff4j Artifact: ff4j-webapi-jersey2x
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6 downloads

Artifact ff4j-webapi-jersey2x
Group org.ff4j
Version 1.9
Last update 20. December 2022
Organization not specified
URL Not specified
License not specified
Dependencies amount 25
Dependencies ff4j-webapi, javax.ws.rs-api, ff4j-utils-json, jackson-core, jackson-annotations, jackson-databind, jackson-dataformat-xml, jackson-dataformat-yaml, jackson-datatype-joda, jackson-jaxrs-base, jackson-jaxrs-json-provider, jsr250-api, jersey-client, jersey-common, jersey-server, jersey-media-json-jackson, jersey-container-servlet, jersey-grizzly-connector, jersey-test-framework-core, jersey-test-framework-provider-grizzly2, jersey-hk2, grizzly-http-servlet, swagger-core, swagger-jersey2-jaxrs, swagger-annotations,
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jbizmo-invoker-javaee from group net.sourceforge.jbizmo (version 6.5.0)

Group: net.sourceforge.jbizmo Artifact: jbizmo-invoker-javaee
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0 downloads

Artifact jbizmo-invoker-javaee
Group net.sourceforge.jbizmo
Version 6.5.0
Last update 01. December 2022
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies jbizmo-commons-invoker,
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jbizmo-commons-javaee from group net.sourceforge.jbizmo (version 6.5.0)

Group: net.sourceforge.jbizmo Artifact: jbizmo-commons-javaee
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0 downloads

Artifact jbizmo-commons-javaee
Group net.sourceforge.jbizmo
Version 6.5.0
Last update 01. December 2022
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies jbizmo-commons-server,
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wekaPython from group nz.ac.waikato.cms.weka (version 1.0.18)

Integration with CPython for Weka. Python version 2.7.x or higher is required. Also requires the following packages to be installed in python: numpy, pandas, matplotlib and scikit-learn. This package provides a wrapper classifier and clusterer that, between them, cover 60+ scikit-learn algorithms. It also provides a general scripting step for the Knowlege Flow along with scripting plugin environments for the Explorer and Knowledge Flow.

Group: nz.ac.waikato.cms.weka Artifact: wekaPython
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0 downloads

Artifact wekaPython
Group nz.ac.waikato.cms.weka
Version 1.0.18
Last update 25. November 2022
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/wekaPython
License GNU General Public License 3
Dependencies amount 6
Dependencies weka-dev, jsyntaxpane, jackson-databind, jackson-module-parameter-names, commons-codec, commons-io,
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skipledger-sql from group io.crums (version 0.5.1)

SQL implementation of the hash ledger. The hash ledger is a skip ledger annotatated with crumtrails (witness records). It contains only opaque hashes. This module maintains the hash ledger on a relational database. It also models the source ledger (the data being tracked) as 2 SQL queries: one, to determine the number rows in the ledger; the second, to return the ledger row for a given row number.

Group: io.crums Artifact: skipledger-sql
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0 downloads

Artifact skipledger-sql
Group io.crums
Version 0.5.1
Last update 25. October 2022
Organization not specified
URL Not specified
License GNU Affero General Public License, Version 3
Dependencies amount 1
Dependencies skipledger,
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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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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,
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weka-package from group nz.ac.waikato.cms.adams (version 2022.10.17)

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

Group: nz.ac.waikato.cms.adams Artifact: moa
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0 downloads

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

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
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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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