def __init__(self):
     Algorithm.__init__(self)
     self.model = KNeighborsClassifier(3)
Exemple #2
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 def __init__(self):
     Algorithm.__init__(self)
     self.model = QuadraticDiscriminantAnalysis()
Exemple #3
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 def __init__(self):
     Algorithm.__init__(self)
     self.model = RandomForestClassifier(max_depth=5, n_estimators=10, max_features=1)
Exemple #4
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 def __init__(self):
     Algorithm.__init__(self)
     self.model = GaussianNB()
 def __init__(self):
     Algorithm.__init__(self)
     self.model = AdaBoostClassifier()
Exemple #6
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 def __init__(self):
     Algorithm.__init__(self)
     self.model = MLPClassifier(alpha=1, max_iter=10000)
 def __init__(self):
     Algorithm.__init__(self)
     self.model = GaussianProcessClassifier(1.0 * RBF(1.0))
Exemple #8
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 def __init__(self):
     Algorithm.__init__(self)
     self.model = make_pipeline(StandardScaler(), SVC(gamma='auto'))
Exemple #9
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 def __init__(self):
     Algorithm.__init__(self)
     self.model = DecisionTreeClassifier()