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mlrules-weka-package from group com.github.fracpete (version 2023.7.26)

Maximum Likelihood Rule Ensembles (MLRules) is a new rule induction algorithm for solving classification problems via probability estimation. The ensemble is built using boosting, by greedily minimizing the negative loglikelihood which results in estimating the class conditional probability distribution. The main advantage of decision rules is their simplicity and comprehensibility: they are logical statements of the form "if condition then decision", which is probably the easiest form of model to interpret. On the other hand, by exploiting a powerful statistical technique to induce the rules, the final ensemble has very high prediction accuracy. Fork of the original code located at: http://www.cs.put.poznan.pl/wkotlowski/software-mlrules.html

Group: com.github.fracpete Artifact: mlrules-weka-package
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Artifact mlrules-weka-package
Group com.github.fracpete
Version 2023.7.26
Last update 25. July 2023
Organization University of Waikato, Hamilton, NZ
URL https://github.com/fracpete/mlrules-weka-package
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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cp-elements from group org.codeprimate (version 2.0.0-M1)

Java Simplified. Extensions and Useful Constructs for the Java Platform. Codeprimate Elements (a.k.a. cp-elements) is a Java library and micro-framework used to simplify the development of software applications written in Java. Elements packages several APIs into one library in order to address various application concerns and aspects of software design and development collectively and conveniently. Elements is a highly simple, yet robust and proven library built on solid OO principles, software design patterns and best practices to effectively solve common and reoccurring problems in software development.

Group: org.codeprimate Artifact: cp-elements
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Artifact cp-elements
Group org.codeprimate
Version 2.0.0-M1
Last update 24. May 2023
Organization Codeprimate, LLC
URL http://www.codeprimate.org/projects/cp-elements
License Apache License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
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fuml from group org.modeldriven (version 1.5.0a)

This open source software is a reference implementation, consisting of software and related files, for the OMG specification called the Semantics of a Foundational Subset for Executable UML Models (fUML). The reference implementation is intended to implement the execution semantics of UML activity models, accepting an XMI file from a conformant UML model as its input and providing an execution trace of the selected activity model(s) as its output. The core execution engine, which is directly generated from the normative syntactic and semantic models for fUML, may also be used as a library implementation of fUML in other software.

Group: org.modeldriven Artifact: fuml
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Artifact fuml
Group org.modeldriven
Version 1.5.0a
Last update 04. April 2023
Organization not specified
URL http:/fuml.modeldriven.org
License FUML Reference Implementation License
Dependencies amount 10
Dependencies commons-collections, commons-lang, xercesImpl, xalan, log4j, stax-utils, sjsxp, commons-logging, jakarta.xml.bind-api, jaxb-impl,
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text-provider from group io.github.ardoco.core (version 0.7.7)

Group: io.github.ardoco.core Artifact: text-provider
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Artifact text-provider
Group io.github.ardoco.core
Version 0.7.7
Last update 28. March 2023
Organization not specified
URL Not specified
License MIT License
Dependencies amount 10
Dependencies common, jackson-databind, log4j-over-slf4j, stanford-corenlp, stanford-corenlp, pipeline, eclipse-collections-api, eclipse-collections, commons-lang3, slf4j-api,
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sedona-python-adapter-2.4_2.12 from group org.apache.sedona (version 1.2.1-incubating)

A cluster computing system for processing large-scale spatial data: Python Adapter. Apache Sedona is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.

Group: org.apache.sedona Artifact: sedona-python-adapter-2.4_2.12
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Artifact sedona-python-adapter-2.4_2.12
Group org.apache.sedona
Version 1.2.1-incubating
Last update 30. August 2022
Organization not specified
URL http://sedona.apache.org/
License not specified
Dependencies amount 4
Dependencies jts-core, jts2geojson, sedona-core-2.4_2.12, sedona-sql-2.4_2.12,
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sedona-viz-2.4_2.12 from group org.apache.sedona (version 1.2.1-incubating)

A cluster computing system for processing large-scale spatial data: RDD and SQL for Viz. Apache Sedona is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.

Group: org.apache.sedona Artifact: sedona-viz-2.4_2.12
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Artifact sedona-viz-2.4_2.12
Group org.apache.sedona
Version 1.2.1-incubating
Last update 30. August 2022
Organization not specified
URL http://sedona.apache.org/
License not specified
Dependencies amount 1
Dependencies awt-color-factory,
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sedona-sql-2.4_2.12 from group org.apache.sedona (version 1.2.1-incubating)

A cluster computing system for processing large-scale spatial data: SQL API. Apache Sedona is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.

Group: org.apache.sedona Artifact: sedona-sql-2.4_2.12
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Artifact sedona-sql-2.4_2.12
Group org.apache.sedona
Version 1.2.1-incubating
Last update 30. August 2022
Organization not specified
URL http://sedona.apache.org/
License not specified
Dependencies amount 0
Dependencies No dependencies
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sedona-core-2.4_2.12 from group org.apache.sedona (version 1.2.1-incubating)

A cluster computing system for processing large-scale spatial data: RDD API. Apache Sedona is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.

Group: org.apache.sedona Artifact: sedona-core-2.4_2.12
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Artifact sedona-core-2.4_2.12
Group org.apache.sedona
Version 1.2.1-incubating
Last update 30. August 2022
Organization not specified
URL http://sedona.apache.org/
License not specified
Dependencies amount 0
Dependencies No dependencies
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sedona-flink_2.11 from group org.apache.sedona (version 1.2.1-incubating)

A cluster computing system for processing large-scale spatial data: Streaming API for Apache Flink. Apache Sedona is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.

Group: org.apache.sedona Artifact: sedona-flink_2.11
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Artifact sedona-flink_2.11
Group org.apache.sedona
Version 1.2.1-incubating
Last update 30. August 2022
Organization not specified
URL http://sedona.apache.org/
License not specified
Dependencies amount 1
Dependencies jheaps,
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sedona-python-adapter-2.4_2.11 from group org.apache.sedona (version 1.2.1-incubating)

Group: org.apache.sedona Artifact: sedona-python-adapter-2.4_2.11
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Artifact sedona-python-adapter-2.4_2.11
Group org.apache.sedona
Version 1.2.1-incubating
Last update 30. August 2022
Organization not specified
URL http://sedona.apache.org/
License not specified
Dependencies amount 4
Dependencies jts-core, jts2geojson, sedona-core-2.4_2.11, sedona-sql-2.4_2.11,
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