com.indeed:vw-wrapper 5.1.2

Vowpal wabbit is a very effective machine learning library (https://github.com/JohnLangford/vowpal_wabbit/wiki). It implements several state of art algorithms in a very efficient way. This java library provides a JNI OOP interface to vowpal wabbit. It depends only on log4j and guava. You don't need vowpal wabbit to be installed if you use this wrapper.

GroupId	com.indeed
ArtifactId	vw-wrapper
Version	5.1.2
Type	jar

Download vw-wrapper 5.1.2

Filename	Size
vw-wrapper-5.1.2.pom
vw-wrapper-5.1.2.jar	2 MB
vw-wrapper-5.1.2-sources.jar	2 MB
vw-wrapper-5.1.2-javadoc.jar	216 KB

Apache Maven

<!-- https://jarcasting.com/artifacts/com.indeed/vw-wrapper/ -->
<dependency>
    <groupId>com.indeed</groupId>
    <artifactId>vw-wrapper</artifactId>
    <version>5.1.2</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/com.indeed/vw-wrapper/
implementation 'com.indeed:vw-wrapper:5.1.2'

Gradle Kotlin

// https://jarcasting.com/artifacts/com.indeed/vw-wrapper/
implementation ("com.indeed:vw-wrapper:5.1.2")

Apache Buildr

'com.indeed:vw-wrapper:jar:5.1.2'

Apache Ivy

<dependency org="com.indeed" name="vw-wrapper" rev="5.1.2">
  <artifact name="vw-wrapper" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='com.indeed', module='vw-wrapper', version='5.1.2')
)

Scala SBT

libraryDependencies += "com.indeed" % "vw-wrapper" % "5.1.2"

Leiningen

[com.indeed/vw-wrapper "5.1.2"]