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src/a/z/AZOrange-HEAD/azorange/AZutilities/paramOptUtilities.py   AZOrange(Download)
 
    # Create an interface for setting optimizer parameters
    pars = AZLearnersParamsConfig.API(learnerName)
 
    # Set user defined fixed parameters (do not set for optimization)

src/a/z/AZOrange-HEAD/azorange/AZutilities/getUnbiasedAccuracy.py   AZOrange(Download)
                self.__log("   The learner '"+str(self.learnerName)+"' is not compatible with the optimizer")
                return False
            parsAPI = AZLearnersParamsConfig.API(self.learnerName)
            for par in self.paramList: 
                if par not in parsAPI.getParameterNames():

src/a/z/AZOrange-HEAD/tests/source/AZorngParamOptTest.py   AZOrange(Download)
 
        # Create an interface for setting optimizer parameters
        pars = AZLearnersParamsConfig.API("RFLearner")
        # Set the parameters in parameterList to be optimized
        pars.setParameter("NumThreads","optimize",False)
 
        # Load the optimization parameters from the default configuration (AZLearnersParamsConfig.py)
        parameters = AZLearnersParamsConfig.API("PLSLearner")
        parameters.setParameter("method","default",'pls1')
 
 
        # Create an interface for setting optimizer parameters
        pars = AZLearnersParamsConfig.API("RFLearner")
        # Set the parameters in parameterList to be optimized
        pars.setParameter("NumThreads","optimize",False)
 
        # Create an interface for setting optimizer parameters
        pars = AZLearnersParamsConfig.API("RFLearner")
        # Set the parameters in parameterList to be optimized
        pars.setParameter("NumThreads","optimize",False)
 
        # Create an interface for setting optimizer parameters
        pars = AZLearnersParamsConfig.API(learnerName)
 
        # Set all parameters to not be optimized

src/a/z/AZOrange-HEAD/tests/source/AZorngParamOptMPITest.py   AZOrange(Download)
 
        # Create an interface for setting optimizer parameters
        pars = AZLearnersParamsConfig.API(learnerName)
 
        # Set all parameters to not be optimized
 
        # Create an interface for setting optimizer parameters
        pars = AZLearnersParamsConfig.API(learnerName)
 
        # Set all parameters to not be optimized
 
        # Create an interface for setting optimizer parameters
        pars = AZLearnersParamsConfig.API(learnerName)
 
        # Set all parameters to not be optimized
 
        # Create an interface for setting optimizer parameters
        pars = AZLearnersParamsConfig.API(learnerName)
 
        # Set all parameters to not be optimized
 
        # Create an interface for setting optimizer parameters
        pars = AZLearnersParamsConfig.API(learnerName)
 
        # Set all parameters to not be optimized

src/a/z/AZOrange-HEAD/orange/OrangeWidgets/Evaluate/OWAZTestOptLearners.py   AZOrange(Download)
            return
        else:
            optAPI = AZLearnersParamsConfig.API(self.learnerType)
            paramsLabels = optAPI.getParameterNames()