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trees from group de.cit-ec.tcs.alignment (version 3.1.1)

This module provides two packages, 'trees' and 'forests', which provide algorithms to compute edit distances on trees and forests (that is, unordered or ordered lists of trees) respectively. The edit distance is computed according to the tree edit distance algorithm of Zhang and Shasha (1989). The basic tree data structure is defined by the Tree interface in the trees module. Please refer to the javadoc for more detailed information.

Group: de.cit-ec.tcs.alignment Artifact: trees
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Artifact trees
Group de.cit-ec.tcs.alignment
Version 3.1.1
Last update 26. October 2018
Organization not specified
URL http://openresearch.cit-ec.de/projects/tcs
License The GNU Affero General Public License, Version 3
Dependencies amount 2
Dependencies algorithms, sets,
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extraTrees from group nz.ac.waikato.cms.weka (version 1.0.2)

Package for generating a single Extra-Tree. Use with the RandomCommittee meta classifier to generate an Extra-Trees forest for classification or regression. This classifier requires all predictors to be numeric. Missing values are not allowed. Instance weights are taken into account. For more information, see Pierre Geurts, Damien Ernst, Louis Wehenkel (2006). Extremely randomized trees. Machine Learning. 63(1):3-42.

Group: nz.ac.waikato.cms.weka Artifact: extraTrees
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Artifact extraTrees
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 03. December 2017
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/extraTrees
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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probabilityCalibrationTrees from group nz.ac.waikato.cms.weka (version 1.0.0)

Provides probability calibration trees (PCTs) for local calibration of class probability estimates. To achieve calibration of a base learner, the PCT class must be used as the meta learner in the CascadeGeneralization class, which is also included in this package. The classifier to be calibrated must be used as the base learner in the CascadeGeneralization class. The CascadeGeneralization class can also be used independently to perform CascadeGeneralization for ensemble learning. The code for PCTs is largely the same as the LMT code for growing logistic model trees. For more details, see the ACML paper on probability calibration trees.

Group: nz.ac.waikato.cms.weka Artifact: probabilityCalibrationTrees
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Artifact probabilityCalibrationTrees
Group nz.ac.waikato.cms.weka
Version 1.0.0
Last update 26. November 2017
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/probabilityCalibrationTrees
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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alternatingDecisionTrees from group nz.ac.waikato.cms.weka (version 1.0.5)

Binary-class and multi-class alternating decision trees. For more information see: Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999. Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.

Group: nz.ac.waikato.cms.weka Artifact: alternatingDecisionTrees
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Artifact alternatingDecisionTrees
Group nz.ac.waikato.cms.weka
Version 1.0.5
Last update 27. April 2014
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/alternatingDecisionTrees
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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simpleCART from group nz.ac.waikato.cms.weka (version 1.0.2)

Class implementing minimal cost-complexity pruning. Note when dealing with missing values, use "fractional instances" method instead of surrogate split method. For more information, see: Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (1984). Classification and Regression Trees. Wadsworth International Group, Belmont, California.

Group: nz.ac.waikato.cms.weka Artifact: simpleCART
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Artifact simpleCART
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/simpleCART
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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multex from group io.github.christophknabe (version 8.5.1)

MulTEx is a simple, but powerful framework for organizing exceptions and messages in a multi-tier Java software system. It offers the key features: Causal chains/trees as a means to capture low-level error information. Redundancy-free stack traces and message chains in the case of indirectly caused exceptions. Internationalized message texts and parameters for exceptions. Services for reporting an exception chain/tree onto streams and dialogs. A standard way for writing method bodies with regard to exceptions. A collection of utilities for centralized exception reporting.

Group: io.github.christophknabe Artifact: multex
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Artifact multex
Group io.github.christophknabe
Version 8.5.1
Last update 18. May 2022
Organization Berliner Hochschule für Technik - Berlin University of Applied Sciences and Technology
URL http://public.bht-berlin.de/~knabe/java/multex/
License GNU Lesser General Public License, Version 3
Dependencies amount 1
Dependencies tools,
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ModelCC from group org.modelcc (version 2015)

ModelCC is a model-based parser generator (a.k.a. compiler compiler) that decouples language specification from language processing, avoiding some of the problems caused by grammar-driven parser generators. ModelCC receives a conceptual model as input, along with constraints that annotate it. It is then able to create a parser for the desired textual language and the generated parser fully automates the instantiation of the language conceptual model. ModelCC also includes a built-in reference resolution mechanism that results in abstract syntax graphs, rather than mere abstract syntax trees.

Group: org.modelcc Artifact: ModelCC
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Artifact ModelCC
Group org.modelcc
Version 2015
Last update 19. December 2018
Organization not specified
URL http://www.modelcc.org
License Simplified BSD License
Dependencies amount 0
Dependencies No dependencies
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albero-web-servlet from group nl.trivento.albero (version 0.2)

A bank decides using various criteria whether a customer wil receive a loan. An insurer uses specific information to determine which insurance product is most suitable for its customer. A municipality makes decisions based on yet other information, to determine whether it will grant permits or if a citizen is entitled to a public transport pass. Decision trees are frequently used in order to make such decisions or recommendations. Albero is a new generation decision tree solution. It is simple, fast, and flexible. Further, Albero is easily adaptable and can integrate easily into any environment.

Group: nl.trivento.albero Artifact: albero-web-servlet
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Artifact albero-web-servlet
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 5
Dependencies json-simple, albero-engine, albero-common, servlet-api, albero-model,
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albero-web-proxy from group nl.trivento.albero (version 0.2)

Group: nl.trivento.albero Artifact: albero-web-proxy
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Artifact albero-web-proxy
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 2
Dependencies albero-common, servlet-api,
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albero-traversal-random from group nl.trivento.albero (version 0.2)

Group: nl.trivento.albero Artifact: albero-traversal-random
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Artifact albero-traversal-random
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 3
Dependencies albero-engine, albero-common, albero-model,
There are maybe transitive dependencies!

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