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Merge pull request #284 from nirmal070125/master
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Updating version to 110 in release note, readme and remove install.txt
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nirmal070125 committed Dec 19, 2015
2 parents 62a6a54 + dfe7261 commit 5762bc2
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12 changes: 7 additions & 5 deletions docs/xdoc/index.xml
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other WSO2 products.
</p>

<h2>Key Features</h2>
<h2>New Features in this release</h2>

<ul>
<li>Wizard like pipeline</li>
<li>Assisted model building</li>
<li>Data exploration utility</li>
<li>Deep learning algorithm support.</li>
<li>Anomaly detection algorithm support.</li>
<li>Recommendation algorithm support.</li>
<li>Supports the PMML format when downloading models</li>
<li>UI improvements.</li>
</ul>

<h2>@product.name@ - Documentation</h2>

<p>See the <a href="http://docs.wso2.org/display/ML100/">Wiki docs of v@product.version@</a>for instructions on
<p>See the <a href="http://docs.wso2.org/display/ML110/">Wiki docs of v@product.version@</a>for instructions on
installation, administration and running samples with @product.name@, v@product.version@</p>

</body>
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55 changes: 0 additions & 55 deletions modules/distribution/INSTALL.txt

This file was deleted.

13 changes: 5 additions & 8 deletions modules/distribution/README.txt
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@@ -1,8 +1,8 @@
================================================================================
WSO2 Machine Learner 1.0.0
WSO2 Machine Learner 1.1.0
================================================================================

Welcome to the WSO2 Machine Learner 1.0.0 release
Welcome to the WSO2 Machine Learner 1.1.0 release

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
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Installation & Running
======================

1. Extract the wso2ml-1.0.0.zip and go to the extracted directory
1. Extract the wso2ml-1.1.0.zip and go to the extracted directory
2. Run the wso2server.sh or wso2server.bat as appropriate
3. Point your favourite browser to

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password : admin


WSO2 Machine Learner 1.0.0 distribution directory structure
WSO2 Machine Learner 1.1.0 distribution directory structure
===========================================================

CARBON_HOME
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- 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
Release information for WSO2 Machine Learner 1.1.0

Support
==================================
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20 changes: 10 additions & 10 deletions modules/distribution/release-notes.html
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<html>
<head>
<meta http-equiv="content-type" content=""/>
<title>WSO2 Machine Learner 1.0.0 Release
<title>WSO2 Machine Learner 1.1.0 Release
Notes</title>
</head>

<body>
<h1>WSO2 Machine Learner 1.0.0 Release Notes</h1>
<h1>WSO2 Machine Learner 1.1.0 Release Notes</h1>

<p>The WSO2 Machine Learner team is pleased to announce the 1.0.0
<p>The WSO2 Machine Learner team is pleased to announce the 1.1.0
release of the WSO2 Machine Learner.

The WSO2 Machine Learner provides a user friendly wizard like interface, which guides users through
Expand All @@ -37,13 +37,14 @@ <h1>WSO2 Machine Learner 1.0.0 Release Notes</h1>
We are striving for a simple and happy first time user experience as well as a
satisfying experienced user experience with this release.

<h2>Key Features</h2>
<h2>New Features added in this release compared to 1.0.0</h2>

<ul>
<li>Data exploration</li>
<li>Model generation</li>
<li>Model comparison</li>
<li>Prediction</li>
<li>Deep learning algorithm support.</li>
<li>Anomaly detection algorithm support.</li>
<li>Recommendation algorithm support.</li>
<li>Supports the PMML format when downloading models</li>
<li>UI improvements.</li>
</ul>

<h2>Project Resources</h2>
Expand All @@ -67,8 +68,7 @@ <h2>Installation and Running</h2>
<li>password : admin</li>
</ul>
<li>For more information, see the Installation Guide: <br/>
<strong>Locally : </strong>INSTALL.txt <br />
<strong>On the web : </strong><a href="http://docs.wso2.org/wiki/display/ML100/Getting+Started">http://docs.wso2.org/wiki/display/ML100/Installation</a></li>
<strong>On the web : </strong><a href="http://docs.wso2.org/wiki/display/ML110/Getting+Started">http://docs.wso2.com/display/ML110/Installing+the+Product</a></li>
</ol>

<h2>Reporting Problems</h2>
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6 changes: 0 additions & 6 deletions modules/distribution/src/main/assembly/bin.xml
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<filtered>true</filtered>
<fileMode>644</fileMode>
</file>
<file>
<source>INSTALL.txt</source>
<outputDirectory>wso2ml-${pom.version}</outputDirectory>
<filtered>true</filtered>
<fileMode>644</fileMode>
</file>
<file>
<source>release-notes.html</source>
<outputDirectory>${pom.artifactId}-${pom.version}</outputDirectory>
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10 changes: 5 additions & 5 deletions modules/distribution/src/main/assembly/filter.properties
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product.name=WSO2 Machine Learner
product.key=ML
product.version=1.0.0-SNAPSHOT
product.version.docs=ML100
product.version=1.1.0
product.version.docs=ML110

carbon.version=4.4.0
carbon.kernel.version=4.4.0
ml.version=1.0.0-SNAPSHOT
carbon.version=4.4.3
carbon.kernel.version=4.4.3
ml.version=1.1.0
default.server.role=MachineLearner
bundle.creators=org.wso2.carbon.mediator.bridge.MediatorBundleCreator
4 changes: 2 additions & 2 deletions modules/distribution/src/main/conf/axis2.xml
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<parameter name="ModulesDirectory">axis2modules</parameter>

<!-- User agent and the server details to be used in the http communication -->
<parameter name="userAgent" locked="true">WSO2 ML 1.0.0-SNAPSHOT</parameter>
<parameter name="server" locked="true">WSO2 ML 1.0.0-SNAPSHOT</parameter>
<parameter name="userAgent" locked="true">WSO2 ML 1.1.0</parameter>
<parameter name="server" locked="true">WSO2 ML 1.1.0</parameter>

<!-- During a fault, stacktrace can be sent with the fault message. The following flag -->
<!-- will control that behaviour -->
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<link href="../admin/css/documentation.css" rel="stylesheet" type="text/css" media="all"/>
</head>
<body>
<h1>Version 1.0.0</h1>
<h1>Version 1.1.0</h1>
<h2>About WSO2 Machine Learner </h2>
<p>WSO2 Machine Learner (ML) is a fully open source, complete solution for
building machine learning models and is ready for massively scalable deployments</p>


<p>WSO2 ML 1.0.0 is developed on top of the revolutionary
<p>WSO2 ML 1.1.0 is developed on top of the revolutionary
<a href="http://wso2.org/projects/carbon">Carbon platform</a>
and is based on the OSGi framework to achieve the
better modularity for your SOA architecture.</p>
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