def __init__(self):
Regression.__init__(self)
self._name = "Logistic"
self._model = linear_model.LogisticRegression(C=1e5)
def __init__(self):
Regression.__init__(self)
self._name = "Bagging"
self._model = BaggingRegressor()
def __init__(self):
Regression.__init__(self)
self._name = "GPR"
self._model = GaussianProcessRegressor()
def __init__(self):
Regression.__init__(self)
self._name = "Logistic"
self._model = linear_model.LogisticRegression(C=1e5)
def __init__(self):
Regression.__init__(self)
self._name = "SVR"
self._model = svm.SVR()
def __init__(self):
Regression.__init__(self)
self._name = "KNR"
self._model = KNeighborsRegressor(n_neighbors=2)
def __init__(self):
Regression.__init__(self)
self._name = "Linear"
self._model = linear_model.LinearRegression()
def __init__(self):
Regression.__init__(self)
self._name = "Lasso"
self._model = linear_model.Lasso(alpha=0.1)
def __init__(self):
Regression.__init__(self)
self._name = "RandomForestRegression"
self._model = RandomForestRegressor()
def __init__(self):
Regression.__init__(self)
self._name = "Decision Trees"
self._model = tree.DecisionTreeRegressor()
def __init__(self):
Regression.__init__(self)
self._name = "SVR"
self._model = linear_model.Ridge(alpha=0.5)
def __init__(self):
Regression.__init__(self)
self._name = "GradientBoostingRegressor"
self._model = GradientBoostingRegressor()
def __init__(self):
Regression.__init__(self)
self._name = "MLPRegressor"
self._model = MLPRegressor()
def __init__(self):
Regression.__init__(self)
self._name = "Bayse"
self._model = linear_model.BayesianRidge()
