org.weblab_project.services.trainable
Class Trainable_Service

java.lang.Object
  extended by javax.xml.ws.Service
      extended by org.weblab_project.services.trainable.Trainable_Service

@WebServiceClient(name="Trainable",
                  targetNamespace="http://weblab-project.org/services/trainable",
                  wsdlLocation="file:/G:/workspace2/WebLabCoreOW2/model/schemas/services/Trainable.wsdl")
public class Trainable_Service
extends javax.xml.ws.Service

A sample trainable service. This class was generated by the JAX-WS RI. JAX-WS RI 2.1.7-b01- Generated source version: 2.1


Nested Class Summary
 
Nested classes/interfaces inherited from class javax.xml.ws.Service
javax.xml.ws.Service.Mode
 
Constructor Summary
Trainable_Service()
           
Trainable_Service(java.net.URL wsdlLocation, javax.xml.namespace.QName serviceName)
           
 
Method Summary
 Trainable getTrainablePort()
           
 Trainable getTrainablePort(javax.xml.ws.WebServiceFeature... features)
           
 
Methods inherited from class javax.xml.ws.Service
addPort, create, create, createDispatch, createDispatch, createDispatch, createDispatch, createDispatch, createDispatch, getExecutor, getHandlerResolver, getPort, getPort, getPort, getPort, getPort, getPorts, getServiceName, getWSDLDocumentLocation, setExecutor, setHandlerResolver
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

Trainable_Service

public Trainable_Service(java.net.URL wsdlLocation,
                         javax.xml.namespace.QName serviceName)

Trainable_Service

public Trainable_Service()
Method Detail

getTrainablePort

@WebEndpoint(name="TrainablePort")
public Trainable getTrainablePort()
Returns:
returns Trainable

getTrainablePort

@WebEndpoint(name="TrainablePort")
public Trainable getTrainablePort(javax.xml.ws.WebServiceFeature... features)
Parameters:
features - A list of WebServiceFeature to configure on the proxy. Supported features not in the features parameter will have their default values.
Returns:
returns Trainable


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