Apps: Spark MLlib

Speed and batch components of machine learning applications built on Spark MLlib

License

License

Categories

Categories

Oryx Business Logic Libraries Machine Learning
GroupId

GroupId

com.cloudera.oryx
ArtifactId

ArtifactId

oryx-app-mllib
Last Version

Last Version

2.8.0
Release Date

Release Date

Type

Type

jar
Description

Description

Apps: Spark MLlib
Speed and batch components of machine learning applications built on Spark MLlib

Download oryx-app-mllib

How to add to project

<!-- https://jarcasting.com/artifacts/com.cloudera.oryx/oryx-app-mllib/ -->
<dependency>
    <groupId>com.cloudera.oryx</groupId>
    <artifactId>oryx-app-mllib</artifactId>
    <version>2.8.0</version>
</dependency>
// https://jarcasting.com/artifacts/com.cloudera.oryx/oryx-app-mllib/
implementation 'com.cloudera.oryx:oryx-app-mllib:2.8.0'
// https://jarcasting.com/artifacts/com.cloudera.oryx/oryx-app-mllib/
implementation ("com.cloudera.oryx:oryx-app-mllib:2.8.0")
'com.cloudera.oryx:oryx-app-mllib:jar:2.8.0'
<dependency org="com.cloudera.oryx" name="oryx-app-mllib" rev="2.8.0">
  <artifact name="oryx-app-mllib" type="jar" />
</dependency>
@Grapes(
@Grab(group='com.cloudera.oryx', module='oryx-app-mllib', version='2.8.0')
)
libraryDependencies += "com.cloudera.oryx" % "oryx-app-mllib" % "2.8.0"
[com.cloudera.oryx/oryx-app-mllib "2.8.0"]

Dependencies

compile (3)

Group / Artifact Type Version
com.cloudera.oryx : oryx-api jar 2.8.0
com.cloudera.oryx : oryx-ml jar 2.8.0
com.cloudera.oryx : oryx-app-common jar 2.8.0

provided (1)

Group / Artifact Type Version
org.apache.spark : spark-mllib_2.11 jar 2.4.0

test (6)

Group / Artifact Type Version
junit : junit jar 4.12
org.apache.spark : spark-streaming_2.11 jar 2.4.0
com.cloudera.oryx : oryx-common jar 2.8.0
com.cloudera.oryx : oryx-lambda jar 2.8.0
com.cloudera.oryx : oryx-app-common jar 2.8.0
com.cloudera.oryx : kafka-util jar 2.8.0

Project Modules

There are no modules declared in this project.

Oryx 2 is a realization of the lambda architecture built on Apache Spark and Apache Kafka, but with specialization for real-time large scale machine learning. It is a framework for building applications, but also includes packaged, end-to-end applications for collaborative filtering, classification, regression and clustering.

Proceed to the Oryx 2 site for full documentation.

Just looking to deploy a ready-made, end-to-end application for collaborative filtering, clustering or classification? Easy. Proceed directly to:

Developers can consume Oryx 2 as a framework for building custom applications as well. Following the architecture overview below, proceed to Making an Oryx App to learn how to create a new application. You can review a module diagram as well to understand the project structure.


Build Status Coverity codecov.io

com.cloudera.oryx

Oryx Project

Realization of the lambda architecture on Spark and Kafka with specialization for real-time large scale machine learning

Versions

Version
2.8.0
2.7.2
2.7.1
2.7.0
2.6.0
2.5.0
2.4.1
2.4.0
2.3.0