All Downloads are FREE. Search and download functionalities are using the official Maven repository.

Download JAR files tagged by ranking with all dependencies

Search JAR files by class name

fairsearchdeltr-java from group com.github.fair-search (version 1.0.1)

A Java library for disparate exposure in ranking (a learning to rank approach)

Group: com.github.fair-search Artifact: fairsearchdeltr-java
Show all versions Show documentation Show source 
 

0 downloads
Artifact fairsearchdeltr-java
Group com.github.fair-search
Version 1.0.1
Last update 02. May 2019
Organization not specified
URL https://github.com/fair-search/fairsearchdeltr-java
License The Apache Software License, Version 2.0
Dependencies amount 5
Dependencies lucene-expressions, commons-math3, jackson-databind, nd4j-native-platform, datavec-api,
There are maybe transitive dependencies!

luzzu-highlevel-operations from group io.github.luzzu (version 4.0.0)

This module consists of classes that support Luzzu on a higher level such as ranking

Group: io.github.luzzu Artifact: luzzu-highlevel-operations
Show documentation Show source 
 

0 downloads
Artifact luzzu-highlevel-operations
Group io.github.luzzu
Version 4.0.0
Last update 26. October 2018
Organization not specified
URL Not specified
License not specified
Dependencies amount 2
Dependencies luzzu-lowlevel-operations, luzzu-semantics,
There are maybe transitive dependencies!

aws-java-sdk-kendraranking from group com.amazonaws (version 1.12.773)

The AWS Java SDK for Amazon Kendra Intelligent Ranking module holds the client classes that are used for communicating with Amazon Kendra Intelligent Ranking Service

Group: com.amazonaws Artifact: aws-java-sdk-kendraranking
Show all versions Show documentation Show source 
 

0 downloads
Artifact aws-java-sdk-kendraranking
Group com.amazonaws
Version 1.12.773
Last update 02. October 2024
Organization not specified
URL https://aws.amazon.com/sdkforjava
License not specified
Dependencies amount 2
Dependencies aws-java-sdk-core, jmespath-java,
There are maybe transitive dependencies!

luzzu-operations from group de.unibonn.iai.eis (version 2.0.1)

The operations module consists of classes that (1) support the execution and maintanace of Luzzu (such as caching); and (2) support data operations (such as validations, graph signatures and ranking) on quality metadata.

Group: de.unibonn.iai.eis Artifact: luzzu-operations
Show all versions Show documentation Show source 
 

0 downloads
Artifact luzzu-operations
Group de.unibonn.iai.eis
Version 2.0.1
Last update 09. June 2017
Organization not specified
URL Not specified
License not specified
Dependencies amount 7
Dependencies luzzu-semantics, commons-codec, fastutil, lz4, mapdb, guava, jackson-core-asl,
There are maybe transitive dependencies!

lightgbmlib from group com.microsoft.ml.lightgbm (version 3.3.510)

A fast, distributed, high performance gradient boosting framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Group: com.microsoft.ml.lightgbm Artifact: lightgbmlib
Show all versions Show documentation Show source 
 

23 downloads
Artifact lightgbmlib
Group com.microsoft.ml.lightgbm
Version 3.3.510
Last update 15. May 2023
Organization not specified
URL https://github.com/Microsoft/LightGBM
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!

sux4j from group it.unimi.dsi (version 5.4.1)

Sux4j is an implementation of succinct data structure in Java. It provides a number of related implementations covering ranking/selection over bit arrays, compressed lists and minimal perfect hashing.

Group: it.unimi.dsi Artifact: sux4j
Show all versions Show documentation Show source 
 

20 downloads
Artifact sux4j
Group it.unimi.dsi
Version 5.4.1
Last update 07. March 2023
Organization not specified
URL http://sux4j.di.unimi.it/
License GNU Lesser General Public License Version 3+
Dependencies amount 8
Dependencies fastutil, dsiutils, jsap, slf4j-api, commons-configuration, commons-io, commons-lang, commons-collections,
There are maybe transitive dependencies!

nlp-opennlp-default from group io.redlink.nlp (version 3.0.0)

Provides a Tokenizer and Sentence Splitter that works for any language that uses whitespaces for word tokenization and .!? for sentence seperation. It is registererd as fallback model (ranking lower as 0) so that it will only get used if the text was not processed by some other model or even other preprocessors.

Group: io.redlink.nlp Artifact: nlp-opennlp-default
Show documentation Show source 
 

0 downloads
Artifact nlp-opennlp-default
Group io.redlink.nlp
Version 3.0.0
Last update 28. February 2022
Organization not specified
URL Not specified
License not specified
Dependencies amount 2
Dependencies nlp-opennlp, slf4j-api,
There are maybe transitive dependencies!

SVMAttributeEval from group nz.ac.waikato.cms.weka (version 1.0.2)

Evaluates the worth of an attribute by using an SVM classifier. Attributes are ranked by the square of the weight assigned by the SVM. Attribute selection for multiclass problems is handled by ranking attributes for each class seperately using a one-vs-all method and then "dealing" from the top of each pile to give a final ranking. For more information see: I. Guyon, J. Weston, S. Barnhill, V. Vapnik (2002). Gene selection for cancer classification using support vector machines. Machine Learning. 46:389-422.

Group: nz.ac.waikato.cms.weka Artifact: SVMAttributeEval
Show all versions Show documentation Show source 
 

2 downloads
Artifact SVMAttributeEval
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/SVMAttributeEval
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

ordinalStochasticDominance from group nz.ac.waikato.cms.weka (version 1.0.2)

An implementation of the Ordinal Stochastic Dominance Learner. Further information regarding the OSDL-algorithm can be found in: S. Lievens, B. De Baets, K. Cao-Van (2006). A Probabilistic Framework for the Design of Instance-Based Supervised Ranking Algorithms in an Ordinal Setting. Annals of Operations Research; Kim Cao-Van (2003). Supervised ranking: from semantics to algorithms; Stijn Lievens (2004). Studie en implementatie van instantie-gebaseerde algoritmen voor gesuperviseerd rangschikken

Group: nz.ac.waikato.cms.weka Artifact: ordinalStochasticDominance
Show all versions Show documentation Show source 
 

0 downloads
Artifact ordinalStochasticDominance
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/ordinalStochasticDominance
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

linearForwardSelection from group nz.ac.waikato.cms.weka (version 1.0.2)

Extension of BestFirst. Takes a restricted number of k attributes into account. Fixed-set selects a fixed number k of attributes, whereas k is increased in each step when fixed-width is selected. The search uses either the initial ordering to select the top k attributes, or performs a ranking (with the same evalutator the search uses later on). The search direction can be forward, or floating forward selection (with opitional backward search steps). For more information see: Martin Guetlein (2006). Large Scale Attribute Selection Using Wrappers. Freiburg, Germany.

Group: nz.ac.waikato.cms.weka Artifact: linearForwardSelection
Show all versions Show documentation Show source 
 

0 downloads
Artifact linearForwardSelection
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/linearForwardSelection
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, classifierBasedAttributeSelection,
There are maybe transitive dependencies!



Page 2 from 3 (items total 30)


© 2015 - 2024 Weber Informatics LLC | Privacy Policy