jdmp-liblinear

Plugin to incorporate classification algorithms from liblinear

License	GNU LESSER GENERAL PUBLIC LICENSE
GroupId	org.jdmp
ArtifactId	jdmp-liblinear
Last Version	0.3.0
Release Date	Aug 16, 2015
Type	jar
Description	jdmp-liblinear Plugin to incorporate classification algorithms from liblinear
Project Organization	Java Data Mining Package

Download jdmp-liblinear

Filename	Size
jdmp-liblinear-0.3.0.pom
jdmp-liblinear-0.3.0.jar	10 KB
jdmp-liblinear-0.3.0-tests.jar	3 KB
jdmp-liblinear-0.3.0-sources.jar	7 KB
jdmp-liblinear-0.3.0-javadoc.jar	71 KB

How to add to project

Apache Maven

<!-- https://jarcasting.com/artifacts/org.jdmp/jdmp-liblinear/ -->
<dependency>
    <groupId>org.jdmp</groupId>
    <artifactId>jdmp-liblinear</artifactId>
    <version>0.3.0</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/org.jdmp/jdmp-liblinear/
implementation 'org.jdmp:jdmp-liblinear:0.3.0'

Gradle Kotlin

// https://jarcasting.com/artifacts/org.jdmp/jdmp-liblinear/
implementation ("org.jdmp:jdmp-liblinear:0.3.0")

Apache Buildr

'org.jdmp:jdmp-liblinear:jar:0.3.0'

Apache Ivy

<dependency org="org.jdmp" name="jdmp-liblinear" rev="0.3.0">
  <artifact name="jdmp-liblinear" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='org.jdmp', module='jdmp-liblinear', version='0.3.0')
)

Scala SBT

libraryDependencies += "org.jdmp" % "jdmp-liblinear" % "0.3.0"

Leiningen

[org.jdmp/jdmp-liblinear "0.3.0"]

Dependencies

compile (2)

Group / Artifact	Type	Version
org.jdmp : jdmp-core	jar	0.3.0
de.bwaldvogel : liblinear	jar	1.94

test (1)

Group / Artifact	Type	Version
junit : junit	jar	4.11

Project Modules

There are no modules declared in this project.

Java Data Mining Package

A Java library for machine learning and data analytics

Project Website:

https://jdmp.org

About

The Java Data Mining Package (JDMP) is an open source Java library for data analysis and machine learning. It facilitates the access to data sources and machine learning algorithms (e.g. clustering, regression, classification, graphical models, optimization) and provides visualization modules. JDMP provides a number of algorithms and tools, but also interfaces to other machine learning and data mining packages (Weka, LibLinear, Elasticsearch, LibSVM, Mallet, Lucene, Octave).

##In a Nutshell:

• Includes many machine learning algorithms
• Multi-threaded and lighting fast
• Handle terabyte-sized data
• Visualize and edit as heatmap, graph, plot
• Treat every type of data as a matrix
• TXT, CSV, PNG, JPG, HTML, XLS, XLSX, PDF, LaTeX, Matlab, MDB
• Free and open source (LGPL)

Quick Start

// load example data set
ListDataSet dataSet = DataSet.Factory.IRIS();

// create a classifier
NaiveBayesClassifier classifier = new NaiveBayesClassifier();

// train the classifier using all data
classifier.trainAll(dataSet);

// use the classifier to make predictions
classifier.predictAll(dataSet);

// get the results
double accuracy = dataSet.getAccuracy();

System.out.println("accuracy: " + accurary);

References

• Holger Arndt: The Java Data Mining Package – A Data Processing Library for Java, 33rd Annual IEEE International Computer Software and Applications Conference (COMPSAC), 2009

License

The Java Data Mining Package is licensed under the GNU Lesser General Public License v3.0.

Java Data Mining Package

A Java library for machine learning and data analytics

Versions

Version
0.3.0 Aug 16, 2015