org.dkpro.tc:dkpro-tc-ml-mallet

Interface to the Mallet Machine Learning Toolkit

License	Apache License, Version 2.0
Categories	MALLET Business Logic Libraries Machine Learning DKPro Natural Language Processing
GroupId	org.dkpro.tc
ArtifactId	dkpro-tc-ml-mallet
Last Version	0.8.0
Release Date	Apr 21, 2016
Type	jar
Description	Interface to the Mallet Machine Learning Toolkit
Project Organization	Ubiquitous Knowledge Processing (UKP) Lab

Download dkpro-tc-ml-mallet

Filename	Size
dkpro-tc-ml-mallet-0.8.0.pom
dkpro-tc-ml-mallet-0.8.0.jar	45 KB
dkpro-tc-ml-mallet-0.8.0-sources.jar	32 KB
dkpro-tc-ml-mallet-0.8.0-javadoc.jar	119 KB

How to add to project

Apache Maven

<!-- https://jarcasting.com/artifacts/org.dkpro.tc/dkpro-tc-ml-mallet/ -->
<dependency>
    <groupId>org.dkpro.tc</groupId>
    <artifactId>dkpro-tc-ml-mallet</artifactId>
    <version>0.8.0</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/org.dkpro.tc/dkpro-tc-ml-mallet/
implementation 'org.dkpro.tc:dkpro-tc-ml-mallet:0.8.0'

Gradle Kotlin

// https://jarcasting.com/artifacts/org.dkpro.tc/dkpro-tc-ml-mallet/
implementation ("org.dkpro.tc:dkpro-tc-ml-mallet:0.8.0")

Apache Buildr

'org.dkpro.tc:dkpro-tc-ml-mallet:jar:0.8.0'

Apache Ivy

<dependency org="org.dkpro.tc" name="dkpro-tc-ml-mallet" rev="0.8.0">
  <artifact name="dkpro-tc-ml-mallet" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='org.dkpro.tc', module='dkpro-tc-ml-mallet', version='0.8.0')
)

Scala SBT

libraryDependencies += "org.dkpro.tc" % "dkpro-tc-ml-mallet" % "0.8.0"

Leiningen

[org.dkpro.tc/dkpro-tc-ml-mallet "0.8.0"]

Dependencies

compile (8)

Group / Artifact	Type	Version
cc.mallet : mallet	jar	2.0.7
org.dkpro.tc : dkpro-tc-core	jar	0.8.0
org.dkpro.tc : dkpro-tc-api-features	jar	0.8.0
org.dkpro.tc : dkpro-tc-api	jar	0.8.0
org.apache.commons : commons-math	jar
commons-io : commons-io	jar	2.4
org.dkpro.lab : dkpro-lab-core	jar
commons-lang : commons-lang	jar

Project Modules

There are no modules declared in this project.

dkpro-tc

DKPro TC is a UIMA-based text classification framework built on top of DKPro Core and DKPro Lab. It is intended to facilitate supervised machine learning experiments with any kind of textual data.

For more information, please visit the DKPro TC Documentation.

DKPro

Versions

Version
0.8.0 Apr 21, 2016