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WSO2 Machine Learner (ML)


Note

We have discontinued WSO2 Machine Learner Product and as a result this repository has been deprecated. We still support machine learning model integration with WSO2 Data Analytics Server (https://github.com/wso2/product-das).


Welcome to the WSO2 Machine Learner!

WSO2 Machine Learner provides a user friendly wizard like interface, which guides users through a set of steps to find and configure machine learning algorithms. The outcome of this process is a model that can be deployed in multiple WSO2 products, such as WSO2 Enterprise Service Bus (ESB), WSO2 Complex Event Processor (CEP). WSO2 ML can be integrated with WSO2 Data Analytics Server (DAS) in order to analyse summarized published data. This is based on the revolutionary WSO2 Carbon framework. All the major features have been developed as pluggable Carbon components.

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Key Features of WSO2 Machine Learner

  1. Data exploration
  2. Model generation
  3. Model comparison
  4. Prediction

System Requirements

  1. Minimum memory - 256MB
  2. Processor - Pentium 800MHz or equivalent at minimum
  3. The Management Console requires full Javascript enablement of the Web browser NOTE: On Windows Server 2003, it is not allowed to go below the medium security level in Internet Explorer 6.x.

Documentation

WSO2 ML documentation can be found at https://docs.wso2.com/display/ML100/WSO2+Machine+Learner+Documentation

Installation & Running

  1. Extract the wso2ml-1.2.0-SNAPSHOT.zip and go to the extracted directory

  2. Run the wso2server.sh or wso2server.bat as appropriate

  3. Point your favourite browser to

    https://localhost:9443/ml

  4. Use the following username and password to login

    username : admin
    password : admin

WSO2 Machine Learner 1.2.0 distribution directory structure

CARBON_HOME
	|- bin <folder>
	|- dbscripts <folder>
	|- lib <folder>
	|- repository <folder>
		|-- logs <folder>
	|--- conf <folder>
	|--- database <folder>
	|- resources <folder>
	|- samples <folder>
	|- tmp <folder>
	|- LICENSE.txt <file>
	|- README.txt <file>
	|- INSTALL.txt <file>		
	|- release-notes.html <file>

- bin
  Contains various scripts .sh & .bat scripts

- conf
  Contains configuration files

- database
      Contains the database

- dbscripts
      Contains all the database scripts

- lib
  Contains the basic set of libraries required to startup Machine Learner
  in standalone mode

- repository
  The repository where services and modules deployed in WSO2 Machine Learner
  are stored. In addition to this the components directory inside the
  repository directory contains the carbon runtime and the user added
  jar files including mediators third party libraries and so on..

- logs
  Contains all log files created during execution

- resources
  Contains additional resources that may be required, including sample
  configuration and sample resources

- samples
  Contains some sample services and client applications that demonstrate
  the functionality and capabilities of WSO2 Machine Learner

- tmp
  Used for storing temporary files, and is pointed to by the
  java.io.tmpdir System property

- LICENSE.txt
  Apache License 2.0 and the relevant other licenses under which
  WSO2 Machine Learner is distributed.

- README.txt
  This document.

- INSTALL.txt
  This document will contain information on installing WSO2 Machine Learner

- release-notes.html
  Release information for WSO2 Machine Learner 1.0.0-SNAPSHOT

Support

WSO2 Inc. offers a variety of development and production support programs, ranging from Web-based support up through normal business hours, to premium 24x7 phone support.

For additional support information please refer to http://wso2.com/support/

For more information on WSO2 Machine Learner, visit the WSO2 Oxygen Tank (http://wso2.org)

Issue Tracker

https://wso2.org/jira/browse/ML

https://wso2.org/jira/browse/CARBON

Crypto Notice

This distribution includes cryptographic software. The country in which you currently reside may have restrictions on the import, possession, use, and/or re-export to another country, of encryption software. BEFORE using any encryption software, please check your country's laws, regulations and policies concerning the import, possession, or use, and re-export of encryption software, to see if this is permitted. See http://www.wassenaar.org/ for more information.

The U.S. Government Department of Commerce, Bureau of Industry and Security (BIS), has classified this software as Export Commodity Control Number (ECCN) 5D002.C.1, which includes information security software using or performing cryptographic functions with asymmetric algorithms. The form and manner of this Apache Software Foundation distribution makes it eligible for export under the License Exception ENC Technology Software Unrestricted (TSU) exception (see the BIS Export Administration Regulations, Section 740.13) for both object code and source code.

The following provides more details on the included cryptographic software:

Apache Rampart : http://ws.apache.org/rampart/
Apache WSS4J : http://ws.apache.org/wss4j/
Apache Santuario : http://santuario.apache.org/
Bouncycastle : http://www.bouncycastle.org/

(c) Copyright 2014 WSO2 Inc.

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Welcome to the WSO2 Machine Learner source code! For info on working with the WSO2 Machine Learner repository and contributing code, click the link below.

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