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 = "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()