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jqassistant-xmi-plugin from group org.jqassistant.contrib.plugin (version 1.10.0)
The jQAssistant plugin for importing UML diagrams, it provides a scanner for reading XMI files and rules for extracting models. The latter can be used to verify architectural concepts in a project.
Group: org.jqassistant.contrib.plugin Artifact: jqassistant-xmi-plugin
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0 downloads
Artifact jqassistant-xmi-plugin
Group org.jqassistant.contrib.plugin
Version 1.10.0
Last update 06. October 2021
Organization not specified
URL https://github.com/jqassistant-contrib/jqassistant-xmi-plugin
License GNU General Public License, v3
Dependencies amount 9
Dependencies lombok, store, common, neo4jv3, junit-jupiter-engine, junit-jupiter-params, mockito-junit-jupiter, assertj-core, slf4j-simple,
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Group org.jqassistant.contrib.plugin
Version 1.10.0
Last update 06. October 2021
Organization not specified
URL https://github.com/jqassistant-contrib/jqassistant-xmi-plugin
License GNU General Public License, v3
Dependencies amount 9
Dependencies lombok, store, common, neo4jv3, junit-jupiter-engine, junit-jupiter-params, mockito-junit-jupiter, assertj-core, slf4j-simple,
There are maybe transitive dependencies!
jqassistant-uml-plugin from group org.jqassistant.contrib.plugin (version 1.9.0-M1)
Group: org.jqassistant.contrib.plugin Artifact: jqassistant-uml-plugin
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byteman from group org.jboss.byteman (version 4.0.23)
The Byteman agent jar contains the implementation of the Byteman java agent, including
the bytecode transformer, rule parser, type checker and execution engine and the agent
listener.
3 downloads
Artifact byteman
Group org.jboss.byteman
Version 4.0.23
Last update 28. May 2024
Organization not specified
URL Not specified
License not specified
Dependencies amount 0
Dependencies No dependencies
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Group org.jboss.byteman
Version 4.0.23
Last update 28. May 2024
Organization not specified
URL Not specified
License not specified
Dependencies amount 0
Dependencies No dependencies
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fix-virtual-host-app from group br.com.thiagomoreira.liferay.plugins.fix-virtual-host-app (version 6.0.1)
Group: br.com.thiagomoreira.liferay.plugins.fix-virtual-host-app Artifact: fix-virtual-host-app
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Artifact fix-virtual-host-app
Group br.com.thiagomoreira.liferay.plugins.fix-virtual-host-app
Version 6.0.1
Group br.com.thiagomoreira.liferay.plugins.fix-virtual-host-app
Version 6.0.1
fix-virtual-host-hook from group br.com.thiagomoreira.liferay.plugins.fix-virtual-host-app (version 6.0.1)
Group: br.com.thiagomoreira.liferay.plugins.fix-virtual-host-app Artifact: fix-virtual-host-hook
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Artifact fix-virtual-host-hook
Group br.com.thiagomoreira.liferay.plugins.fix-virtual-host-app
Version 6.0.1
Group br.com.thiagomoreira.liferay.plugins.fix-virtual-host-app
Version 6.0.1
hooks from group br.com.thiagomoreira.liferay.plugins.fix-virtual-host-app (version 6.0.1)
Group: br.com.thiagomoreira.liferay.plugins.fix-virtual-host-app Artifact: hooks
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fix-virtual-host-app-parent from group br.com.thiagomoreira.liferay.plugins.fix-virtual-host-app (version 6.0.1)
Group: br.com.thiagomoreira.liferay.plugins.fix-virtual-host-app Artifact: fix-virtual-host-app-parent
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Artifact fix-virtual-host-app-parent
Group br.com.thiagomoreira.liferay.plugins.fix-virtual-host-app
Version 6.0.1
Group br.com.thiagomoreira.liferay.plugins.fix-virtual-host-app
Version 6.0.1
multiLayerPerceptrons from group nz.ac.waikato.cms.weka (version 1.0.10)
This package currently contains classes for training multilayer perceptrons with one hidden layer, where the number of hidden units is user specified. MLPClassifier can be used for classification problems and MLPRegressor is the corresponding class for numeric prediction tasks. The former has as many output units as there are classes, the latter only one output unit. Both minimise a penalised squared error with a quadratic penalty on the (non-bias) weights, i.e., they implement "weight decay", where this penalised error is averaged over all training instances. The size of the penalty can be determined by the user by modifying the "ridge" parameter to control overfitting. The sum of squared weights is multiplied by this parameter before added to the squared error. Both classes use BFGS optimisation by default to find parameters that correspond to a local minimum of the error function. but optionally conjugated gradient descent is available, which can be faster for problems with many parameters. Logistic functions are used as the activation functions for all units apart from the output unit in MLPRegressor, which employs the identity function. Input attributes are standardised to zero mean and unit variance. MLPRegressor also rescales the target attribute (i.e., "class") using standardisation. All network parameters are initialised with small normally distributed random values.
Group: nz.ac.waikato.cms.weka Artifact: multiLayerPerceptrons
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10 downloads
Artifact multiLayerPerceptrons
Group nz.ac.waikato.cms.weka
Version 1.0.10
Last update 31. October 2016
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/multiLayerPerceptrons
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.10
Last update 31. October 2016
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/multiLayerPerceptrons
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
jsgen from group com.github.jochenw (version 1.2)
Jsgen is a Java Source Generation Framework: That means, it should be a valuable tool, if you intend to write a custom generator for Java
sources.
As such, it is the successor of a previous framework, called JaxMeJS (http://jaxme.sourceforge.net/JaxMeJS/docs/index.html).
The predecessor came into being as a standalone project. It was incorporated into the bigger JaxMe project, when the latter
was adopted by the Apache Webservices project. And it was buried as part of the bigger project, when the latter was moved to the
Apache Attic (http://svn.apache.org/repos/asf/webservices/archive/jaxme/).
That was fine for quite some time, because the latest released version (JaxMeJS 0.5.2) did its job quite well.
Over the years, however, the Java language has evolved, and the lack of support for features like Generics, or
Annotations, became a burden. Hence the Successor: Jsgen picks up, where JaxMeJS ended. It is, however, a complete
rewrite with several additional features, that the author considers to be important for modern Java applications:
1. It supports Generics.
2. It supports Annotations.
3. The builder pattern has been adopted. Almost all important classes are implemented as builders.
This should make writing the actual source generators much more concise, and maintainable, than
it used to be before.
4. The code style is configurable. Code styles allow you to concentrate on the actual work.
The resulting Jave source will look nicely formatted, anyways. As of this writing, you
can select between two builtin code styles:
- The default code style is basically the authors personal free style, roughly comparable to the default
code style of the Eclipse Java IDE.
- As an alternative, there is also a Maven code style, which is widely used in the Open Source communities.
Compared to the default style, it is less concise, if not even a bit verbose. On the other hand, it is
widely adopted by projects in the vicinity of {{{https://maven.apache.org}Apache Maven}}.
5. Import lists are created, and sorted, automatically.
Artifact jsgen
Group com.github.jochenw
Version 1.2
Last update 10. November 2019
Organization not specified
URL https://jochenw.github.io/jsgen
License Apache License, Version 2.0
Dependencies amount 1
Dependencies jsr305,
There are maybe transitive dependencies!
Group com.github.jochenw
Version 1.2
Last update 10. November 2019
Organization not specified
URL https://jochenw.github.io/jsgen
License Apache License, Version 2.0
Dependencies amount 1
Dependencies jsr305,
There are maybe transitive dependencies!
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