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boxes from group com.github.alexmojaki (version 0.1)

Add object oriented power to fields, letting you do better than traditional getters and setters.

Group: com.github.alexmojaki Artifact: boxes
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Artifact boxes
Group com.github.alexmojaki
Version 0.1
Last update 23. November 2015
Organization not specified
URL https://github.com/alexmojaki/boxes
License MIT License
Dependencies amount 1
Dependencies guava,
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memoizer from group org.javastack (version 1.0.0)

Agnostic Cache. Memoize a function makes it faster by caching the return values of the function; If you call the function again with the same arguments, memoize gives you the value out of the cache, instead of letting the function compute the value all over again.

Group: org.javastack Artifact: memoizer
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Artifact memoizer
Group org.javastack
Version 1.0.0
Last update 19. February 2016
Organization not specified
URL https://github.com/ggrandes/${project.artifactId}
License The Apache License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
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panic from group info.guardianproject.panic (version 1.0)

PanicKit is a collection of tools for letting panic trigger and panic receiver apps safely and easily connect to each other. The trigger apps are the part that the user will actual engage when in a panic situation. The receiver apps receive the trigger signal from the trigger apps when the user has initiated the panic response. The connections between trigger and receiver can be strictly enforced based on Package Name and APK signing key.

Group: info.guardianproject.panic Artifact: panic
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Artifact panic
Group info.guardianproject.panic
Version 1.0
Last update 08. April 2021
Organization not specified
URL https://github.com/guardianproject/PanicKit
License GNU Lesser General Public License, version 2.1 or newer (LGPLv2.1+)
Dependencies amount 0
Dependencies No dependencies
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userClassifier from group nz.ac.waikato.cms.weka (version 1.0.3)

Interactively classify through visual means. You are Presented with a scatter graph of the data against two user selectable attributes, as well as a view of the decision tree. You can create binary splits by creating polygons around data plotted on the scatter graph, as well as by allowing another classifier to take over at points in the decision tree should you see fit. For more information see: Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark Hall, Ian H. Witten (2001). Interactive machine learning: letting users build classifiers. Int. J. Hum.-Comput. Stud. 55(3):281-292.

Group: nz.ac.waikato.cms.weka Artifact: userClassifier
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2 downloads
Artifact userClassifier
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 25. April 2014
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/userClassifier
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!



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