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siddhi-execution-kalman-filter¶

The siddhi-execution-kalman-filter extension is an extension to Siddhi provides that Kalman filtering capabilities to Siddhi. This allows you to detect outliers of input data.

Find some useful links below:

Latest API Docs¶

Latest API Docs is 5.0.1.

How to use¶

Using the extension in WSO2 Stream Processor

You can use this extension in the latest WSO2 Stream Processor that is a part of WSO2 Analytics offering, with editor, debugger and simulation support.
This extension is shipped by default with WSO2 Stream Processor, if you wish to use an alternative version of this extension you can replace the component jar that can be found in the <STREAM_PROCESSOR_HOME>/lib directory.

Using the extension as a java library

This extension can be added as a maven dependency along with other Siddhi dependencies to your project.

     <dependency>
        <groupId>org.wso2.extension.siddhi.execution.kalmanfilter</groupId>
        <artifactId>siddhi-execution-kalman-filter</artifactId>
        <version>x.x.x</version>
     </dependency>

Jenkins Build Status¶

Branch	Build Status
master

Features¶

kalmanFilter (Function)

This extension provides Kalman filtering capabilities to Siddhi. This allows you to detect outliers of input data. This function uses measurements observed over time containing noise and other inaccuracies, and produces estimated values for the current measurement using the Kalman algorithm.

How to Contribute¶

Please report issues at GitHub Issue Tracker.
Send your contributions as pull requests to master branch.

Contact us¶

Post your questions with the "Siddhi" tag in Stackoverflow.
Siddhi developers can be contacted via the mailing lists:

Developers List : dev@wso2.org

Architecture List : architecture@wso2.org

Support¶

We are committed to ensuring support for this extension in production. Our kalman filter approach ensures that all support leverages our open development methodology and is provided by the very same engineers who build the technology.
For more details and to take advantage of this kalman filter opportunity contact us via http://wso2.com/support/.