When done also add this to the Siddhi documentation at[1]

Suho

[1]https://docs.wso2.com/display/CEP400/Siddhi+Extensions

On Thu, May 14, 2015 at 3:35 PM, Manorama Perera <[email protected]> wrote:

> Hi,
>
> We are in the process of implementing a CEP extension for Machine Learner
> Predictions. This extension allows the machine learning models generated by
> WSO2 ML to be used within CEP for predictions.
>
> To use this, following ML features need to be installed in CEP.
>
>    - Machine Learner Core feature
>    - Machine Learner Commons feature
>    - Machine Learner Database Service feature
>
> This extension is implemented as a *StreamProcessor*.
>
> *The syntax :*
>
> There are two possible ways to use the extension.
>
> *<stream-name>#ml:predict(‘<path-to-ML-model>’) *
>
> *<stream-name>#ml:predict('<path-to-ML-model>', attribute 1, attribute 2,
> .......)*
>
> *path-to-MLModel*
>
> The storage location of the Machine learning model can be either registry
> or file system.
>
> If the model is stored in the registry, *path-to-ML-model* should have
> the prefix *registry:*
> If the model is stored in the file system, *path-to-ML-model* should have
> the prefix *file:*
>
> *attribute 1, attribute 2, ….*
>
> These are the attribute names of the stream. The values of these
> attributes are sent to the MLModel as feature input values. When the
> attribute names are not explicitly given, the extension will map the
> attribute names of the stream with the feature names of the ML model.
>
> The output events will contain the attribute* prediction* which holds the
> prediction result for that particular event.
>
> Thanks.
>
> --
> Manorama Perera
> Software Engineer
> WSO2, Inc.;  http://wso2.com/
> Mobile : +94716436216
>



-- 

*S. Suhothayan*
Technical Lead & Team Lead of WSO2 Complex Event Processor
 *WSO2 Inc. *http://wso2.com
* <http://wso2.com/>*
lean . enterprise . middleware


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