Does this update the model time to time or use the same modal throughout the ESB up time? It is better if we can update the model while the ESB is up and running. There may be some use cases related to multiple domains right? So I think would be more generic and useful if we can apply the mediator not based on the domain but with a custom argument expression. For example if the target service is SalesService and the operation is getTotalSalesCount we want to use the modal to analyze all incoming requests from all domains. WDYT?
Thanks. *Maninda Edirisooriya* Senior Software Engineer *WSO2, Inc.*lean.enterprise.middleware. *Blog* : http://maninda.blogspot.com/ *E-mail* : [email protected] *Skype* : @manindae *Twitter* : @maninda On Tue, Mar 24, 2015 at 12:00 PM, Manorama Perera <[email protected]> wrote: > 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 > > _______________________________________________ > Architecture mailing list > [email protected] > https://mail.wso2.org/cgi-bin/mailman/listinfo/architecture > >
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