Python linear_regression_multivariant示例

示例#1

文件： normalized_fusion_model.py 项目： manasRK/document_rating

 def cv(data, target, multivariant=False):
     X_train, X_test, Y_train, Y_test = cross_validation.train_test_split(data, target, test_size=0.2,
                                                                          random_state=0)
     if multivariant is False:
         linear_regression(X_train, X_test, Y_train, Y_test, plot=False)
     else:
         linear_regression_multivariant(X_train, X_test, Y_train, Y_test, cost_fun='Ridge_Regression')

示例#2

文件： cross_validation.py 项目： hjnhjn123/document_rating

def cv(data, target, multivariant=False):
    X_train, X_test, Y_train, Y_test = cross_validation.train_test_split(data, target, test_size=0.1, random_state=10)
    if multivariant is False:
        linear_regression(X_train, X_test, Y_train, Y_test, plot=False)
    else:
        linear_regression_multivariant(X_train, X_test, Y_train, Y_test, cost_fun='ordinary_least_squares')
        linear_regression_multivariant(X_train, X_test, Y_train, Y_test, cost_fun='Ridge_Regression')
        linear_regression_multivariant(X_train, X_test, Y_train, Y_test, cost_fun='Bayesian_Regression')
        linear_regression_multivariant(X_train, X_test, Y_train, Y_test, cost_fun='SVR')
        linear_regression_multivariant(X_train, X_test, Y_train, Y_test, cost_fun='KNN_Reg')

示例#3

文件： cross_validation.py 项目： manasRK/document_rating

def cv(data, target, multivariant=False):
    X_train, X_test, Y_train, Y_test = cross_validation.train_test_split(data, target, test_size=0.1, random_state=10)
    if multivariant is False:
        linear_regression(X_train, X_test, Y_train, Y_test, plot=False)
    else:
        linear_regression_multivariant(X_train, X_test, Y_train, Y_test, cost_fun="ordinary_least_squares")
        linear_regression_multivariant(X_train, X_test, Y_train, Y_test, cost_fun="Ridge_Regression")
        linear_regression_multivariant(X_train, X_test, Y_train, Y_test, cost_fun="Bayesian_Regression")
        linear_regression_multivariant(X_train, X_test, Y_train, Y_test, cost_fun="SVR")
        linear_regression_multivariant(X_train, X_test, Y_train, Y_test, cost_fun="KNN_Reg")

示例#4

文件： fusion_model_vader.py 项目： hjnhjn123/document_rating

def cv(data, target, multivariant=False):
    X_train, X_test, Y_train, Y_test = cross_validation.train_test_split(
        data, target, test_size=0.2, random_state=0)
    if multivariant is False:
        linear_regression(X_train, X_test, Y_train, Y_test, plot=False)
    else:
        linear_regression_multivariant(X_train,
                                       X_test,
                                       Y_train,
                                       Y_test,
                                       cost_fun='Ridge_Regression')