Interruptible MEKA

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

Лицензия	Лицензия GPLv3
Группа	Группа ai.libs.thirdparty
Идентификатор	Идентификатор interruptible-meka
Последняя версия	Последняя версия 0.1.2
Дата	Дата 27 июл. 2020 г.
Тип	Тип jar
Описание	Описание Interruptible MEKA A MEKA fork which allows to interrupt training and prediction procedures of the models.
Система контроля версий	Система контроля версий https://github.com/mwever/meka

Скачать interruptible-meka

Имя Файла	Размер
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
Обзор

Как подключить последнюю версию

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"]

Зависимости

compile (12)

Идентификатор библиотеки	Тип	Версия
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)

Идентификатор библиотеки	Тип	Версия
org.slf4j : slf4j-log4j12	jar	1.7.13
log4j : log4j	jar	1.2.17

test (1)

Идентификатор библиотеки	Тип	Версия
junit : junit	jar	4.12

Модули Проекта

Данный проект не имеет модулей.

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 meka-list@lists.sourceforge.net

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.

Версии библиотеки

Версия
0.1.2 27 июл. 2020 г.
0.1.1 13 янв. 2020 г.
0.1.0 12 мая 2019 г.

Interruptible MEKA

Лицензия

Группа

Идентификатор

Последняя версия

Дата

Тип

Описание

Система контроля версий