def __init__(self, norm_type="Normalization", iterations=5, base_classifier="SVM"):
self.iterations = iterations
self.norm_type = norm_type
self.base_classifier = SVM.SVMClassifier()
self.prediction = None
self.probability = None
self.classifier_set = None
def __init__(self, norm_type="Normalization", iterations=5, base_classifier="SVM"):
self.iterations = iterations
self.norm_type = norm_type
self.prediction = None
self.probability = None
self.classifier_set = None
if base_classifier == "SVM":
self.base_classifier = SVM.SVMClassifier()
elif base_classifier == "KNN":
self.base_classifier = KNN.KNNClassifier()
elif base_classifier == "DecisionTree":
self.base_classifier = DecisionTree.DecisionTreeClassifier()
elif base_classifier == "Logistic":
self.base_classifier = Logistic.LogisticRegressionClassifier()
elif base_classifier == "Perceptron":
self.base_classifier = Perceptron.PerceptronClassifier()
