Interruptible MEKA

A MEKA fork which allows to interrupt training and prediction procedures of the models.

License	GPLv3
GroupId	ai.libs.thirdparty
ArtifactId	interruptible-meka
Last Version	0.1.2
Release Date	Jul 27, 2020
Type	jar
Description	Interruptible MEKA A MEKA fork which allows to interrupt training and prediction procedures of the models.
Source Code Management	https://github.com/mwever/meka

Download interruptible-meka

Filename	Size
interruptible-meka-0.1.2.pom
interruptible-meka-0.1.2.jar	589 KB
interruptible-meka-0.1.2-sources.jar	486 KB
interruptible-meka-0.1.2-javadoc.jar	1 MB

How to add to project

Apache Maven

<!-- https://jarcasting.com/artifacts/ai.libs.thirdparty/interruptible-meka/ -->
<dependency>
    <groupId>ai.libs.thirdparty</groupId>
    <artifactId>interruptible-meka</artifactId>
    <version>0.1.2</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/ai.libs.thirdparty/interruptible-meka/
implementation 'ai.libs.thirdparty:interruptible-meka:0.1.2'

Gradle Kotlin

// https://jarcasting.com/artifacts/ai.libs.thirdparty/interruptible-meka/
implementation ("ai.libs.thirdparty:interruptible-meka:0.1.2")

Apache Buildr

'ai.libs.thirdparty:interruptible-meka:jar:0.1.2'

Apache Ivy

<dependency org="ai.libs.thirdparty" name="interruptible-meka" rev="0.1.2">
  <artifact name="interruptible-meka" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='ai.libs.thirdparty', module='interruptible-meka', version='0.1.2')
)

Scala SBT

libraryDependencies += "ai.libs.thirdparty" % "interruptible-meka" % "0.1.2"

Leiningen

[ai.libs.thirdparty/interruptible-meka "0.1.2"]

Dependencies

compile (12)

Group / Artifact	Type	Version
com.googlecode.jfilechooser-bookmarks : jfilechooser-bookmarks	jar	0.1.0
org.kramerlab : bmad	jar	2.4
gov.nist.math : jama	jar	1.0.3
net.sf.trove4j : trove4j	jar	3.0.1
com.github.fracpete : jclipboardhelper	jar	0.1.1
org.markdownj : markdownj	jar	0.3.0-1.0.2b4
net.sf.meka.thirdparty : mst	jar	4.0
org.kramerlab : autoencoder	jar	0.1
com.github.fracpete : multisearch-weka-package	jar	2017.10.1
net.sf.meka.thirdparty : mulan	jar	1.4.0
ai.libs.thirdparty : interruptible-weka	jar	0.1.2
org.slf4j : slf4j-api	jar	1.7.13

runtime (2)

Group / Artifact	Type	Version
org.slf4j : slf4j-log4j12	jar	1.7.13
log4j : log4j	jar	1.2.17

test (1)

Group / Artifact	Type	Version
junit : junit	jar	4.12

Project Modules

There are no modules declared in this project.

Meka

The MEKA project provides an open source implementation of methods for multi-label learning and evaluation.

http://waikato.github.io/meka/

Documentation

See http://waikato.github.io/meka/documentation/ for sources of documentation regarding MEKA.

In particular,

• See the Tutorial.pdf for detailed information on obtaining, using and extending MEKA.
• For a list of included methods and command line examples for them, see: http://meka.sourceforge.net/methods.html
• For examples on how to use MEKA in your Java code: https://github.com/Waikato/meka/tree/master/src/main/java/mekaexamples

If you have a specific question, ask on Meka's mailing list

• Check if it is already answered: http://sourceforge.net/mailarchive/forum.php?forum_name=meka-list
• Write it to [email protected]

Bugs, and Future Enhancements

A list of current Issues in Meka (known bugs, planned improvements, feature wishlist) can be found at https://github.com/Waikato/meka/issues

The Meka developers never have enough time to implement everything that should be in Meka. If you would like to contribute something new to Meka, or help with any of the existing issues, please get in touch with the developers.

Versions

Version
0.1.2 Jul 27, 2020
0.1.1 Jan 13, 2020
0.1.0 May 12, 2019