CircuitWall Machine Learning Libraries

Machine learning libraries for different platforms

License	The Apache License, Version 2.0
GroupId	com.circuitwall.ml
ArtifactId	parent
Last Version	1.2.0
Release Date	Aug 3, 2017
Type	pom
Description	CircuitWall Machine Learning Libraries Machine learning libraries for different platforms
Project URL	https://github.com/CircuitWall/machine-learning
Source Code Management	https://github.com/CircuitWall/machine-learning

Download parent

Filename	Size
parent-1.2.0.pom	4 KB

How to add to project

Apache Maven

<!-- https://jarcasting.com/artifacts/com.circuitwall.ml/parent/ -->
<dependency>
    <groupId>com.circuitwall.ml</groupId>
    <artifactId>parent</artifactId>
    <version>1.2.0</version>
    <type>pom</type>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/com.circuitwall.ml/parent/
implementation 'com.circuitwall.ml:parent:1.2.0'

Gradle Kotlin

// https://jarcasting.com/artifacts/com.circuitwall.ml/parent/
implementation ("com.circuitwall.ml:parent:1.2.0")

Apache Buildr

'com.circuitwall.ml:parent:pom:1.2.0'

Apache Ivy

<dependency org="com.circuitwall.ml" name="parent" rev="1.2.0">
  <artifact name="parent" type="pom" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='com.circuitwall.ml', module='parent', version='1.2.0')
)

Scala SBT

libraryDependencies += "com.circuitwall.ml" % "parent" % "1.2.0"

Leiningen

[com.circuitwall.ml/parent "1.2.0"]

Dependencies

test (1)

Group / Artifact	Type	Version
junit : junit	jar	4.12

Project Modules

• algorithm
• platform-flink
• platform-spark
• platform-monolithic

Machine-learning libs by circuitwall.com

Requirements: Java 8 and above (stream/parallel stream, default)

Algorithms

<dependency>
    <groupId>com.circuitwall.ml</groupId>
    <artifactId>algorithm</artifactId>
    <version>1.2.0</version>
</dependency>

This package contains key logics for the algorithm to run.

Evolution Algorithm

"In artificial intelligence, an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm. An EA uses mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and selection.

Evolutionary algorithm" - Wikipedia

Supply with implementation of some key logic, you can choose to evolve solution to your problem from "primordial soup" or advanced "primates".

This algorithm is very useful to solve puzzles with multiple dimensions.

Flink Execution plan:

Read more

Platforms

By including following packages, the algorithm can be run on different environment.

Monolithic

Or say run it locally.

<dependency>
    <groupId>com.circuitwall.ml</groupId>
    <artifactId>platform-monolithic</artifactId>
    <version>1.2.0</version>
</dependency>

Flink

A DAG engine read more here https://flink.apache.org

<dependency>
    <groupId>com.circuitwall.ml</groupId>
    <artifactId>platform-flink</artifactId>
    <version>1.2.0</version>
</dependency>

Spark

A DAG engine read more here https://spark.apache.org/

<dependency>
    <groupId>com.circuitwall.ml</groupId>
    <artifactId>platform-spark</artifactId>
    <version>1.2.0</version>
</dependency>

CircuitWall

Another Java Bigdata/Machine learning consultancy...

Versions

Version
1.2.0 Aug 3, 2017
1.1.1 Oct 5, 2016