Hi,
ESB mediator for WSO2 ML enables making use of the models generated by WSO2
Machine Leaner, to predict values in message mediation in ESB.
- Machine Learner feature needs to be installed in ESB prior to
configure the ML mediator.
- Mediator will extract the data from the incoming messages and send to
the ML model as features.
- The mediator use the Machine Learner features to predict the output
value for every message passing through the mediator.
*Proposed Mediator Configuration*
<ml>
<model storage-location="string"/>
<feature name="string" expression="xpath"/>+
<prediction expression="xpath"/>
</ml>
*model*
storage-location : Storage location of the generated model.
*feature*
name : Feature name according to the generated model.
expression : XPath expression used to determine the feature value.
*prediction*
expression : XPath expression to determine the location to insert the
predicted value.
The generated models can be applied to predict only the data coming from
the same domain, as the data used to train the model. So the mediator
should be configured only to mediate messages which carry data coming from
the same domain, as the data used to train the model.
Any suggestion are appreciated.
Thanks.
--
Manorama Perera
Software Engineer
WSO2, Inc.; http://wso2.com/
Mobile : +94716436216
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