'Classify a single image. Takes in an image and returns the string
of the classification.
Make sure you haved loaded the feauture extractors and the training data.'

def classify(self, image):

    featureVector = []
    for extractor in self.mFeatureExtractors:
        feats = extractor.extract(image)
        if (feats is not None):
            featureVector.extend(feats)
    featureVector.extend([self.mClassNames[0]])
    test = orange.ExampleTable(self.mOrangeDomain, [featureVector])
    c = self.mClassifier(test[0])
    return str(c)
