コード例 #1
0
    def test_multisearch(self):
        """
        Tests the MultiSearch class.
        NB: multisearch-weka-package must be installed (https://github.com/fracpete/multisearch-weka-package).
        """
        ms = classifiers.MultiSearch()

        mparam = classes.MathParameter()
        mparam.prop = "classifier.kernel.gamma"
        mparam.minimum = -3.0
        mparam.maximum = 3.0
        mparam.step = 1.0
        mparam.base = 10.0
        mparam.expression = "pow(BASE,I)"
        lparam = classes.ListParameter()
        lparam.prop = "classifier.C"
        lparam.values = ["-2.0", "-1.0", "0.0", "1.0", "2.0"]
        ms.parameters = [mparam, lparam]
        self.assertEqual(str([mparam, lparam]),
                         str(ms.parameters),
                         msg="parameters differ")

        cls = classifiers.Classifier(
            classname="weka.classifiers.functions.SMOreg",
            options=[
                "-K", "weka.classifiers.functions.supportVector.RBFKernel"
            ])
        ms.classifier = cls
        self.assertEqual(cls.to_commandline(),
                         ms.classifier.to_commandline(),
                         msg="classifiers differ")

        cls = classifiers.Classifier(
            classname="weka.classifiers.functions.LinearRegression")
        ms.classifier = cls
        ms.evaluation = ms.tags_evaluation.find("RMSE")
        self.assertEqual("RMSE", str(ms.evaluation),
                         "evaluation differs: " + str(ms.evaluation))

        ms.evaluation = "ACC"
        self.assertEqual("ACC", str(ms.evaluation),
                         "evaluation differs: " + str(ms.evaluation))
        cls = classifiers.Classifier(classname="weka.classifiers.trees.J48")
        ms.classifier = cls
コード例 #2
0
    def test_setupgenerator(self):
        """
        Tests the SetupGenerator class and related classes.
        """
        mparam = classes.MathParameter()
        mparam.prop = "classifier.kernel.gamma"
        mparam.minimum = -3.0
        mparam.maximum = 3.0
        mparam.step = 1.0
        mparam.base = 10.0
        mparam.expression = "pow(BASE,I)"
        self.assertEqual(
            "weka.core.setupgenerator.MathParameter -property classifier.kernel.gamma -min -3.0 -max 3.0 -step 1.0 -base 10.0 -expression pow(BASE,I)",\
            mparam.to_commandline(), msg="commandlines differ")

        lparam = classes.ListParameter()
        lparam.prop = "classifier.C"
        lparam.values = ["-2.0", "-1.0", "0.0", "1.0", "2.0"]
        self.assertEqual(
            "weka.core.setupgenerator.ListParameter -property classifier.C -list \"-2.0 -1.0 0.0 1.0 2.0\"",
            lparam.to_commandline(), msg="commandlines differ")