Machine Learning Exploration Library

A library for general purpose exploration through a set of actions. This is most applicable in a reinforcement or bandit setting, althought it is most often tested with Vowpal Wabbit.

License

License

Categories

Categories

Java Languages
GroupId

GroupId

com.github.multiworldtesting
ArtifactId

ArtifactId

explore-java
Last Version

Last Version

1.0.0
Release Date

Release Date

Type

Type

jar
Description

Description

Machine Learning Exploration Library
A library for general purpose exploration through a set of actions. This is most applicable in a reinforcement or bandit setting, althought it is most often tested with Vowpal Wabbit.
Project URL

Project URL

https://github.com/multiworldtesting/explore-java

Download explore-java

How to add to project

<!-- https://jarcasting.com/artifacts/com.github.multiworldtesting/explore-java/ -->
<dependency>
    <groupId>com.github.multiworldtesting</groupId>
    <artifactId>explore-java</artifactId>
    <version>1.0.0</version>
</dependency>
// https://jarcasting.com/artifacts/com.github.multiworldtesting/explore-java/
implementation 'com.github.multiworldtesting:explore-java:1.0.0'
// https://jarcasting.com/artifacts/com.github.multiworldtesting/explore-java/
implementation ("com.github.multiworldtesting:explore-java:1.0.0")
'com.github.multiworldtesting:explore-java:jar:1.0.0'
<dependency org="com.github.multiworldtesting" name="explore-java" rev="1.0.0">
  <artifact name="explore-java" type="jar" />
</dependency>
@Grapes(
@Grab(group='com.github.multiworldtesting', module='explore-java', version='1.0.0')
)
libraryDependencies += "com.github.multiworldtesting" % "explore-java" % "1.0.0"
[com.github.multiworldtesting/explore-java "1.0.0"]

Dependencies

test (3)

Group / Artifact Type Version
commons-io : commons-io jar 2.4
com.google.code.gson : gson jar 2.4
junit : junit jar 4.11

Project Modules

There are no modules declared in this project.
com.github.multiworldtesting

Multiworld Testing

MWT is a technique for simultaneously running a large number of experiments for offline a/b testing or use by machine learning algorithms.

Versions

Version
1.0.0