Python polynomial_features示例

示例#1

 def fit(self, X, y):
     X = normalize(polynomial_features(X, degree=self.degree))
     super(ElasticNet, self).fit(X, y)

示例#2

 def predict(self, X):
     X = normalize(polynomial_features(X, degree=self.degree))
     return super(ElasticNet, self).predict(X)

示例#3

 def predict(self, X):
     X = normalize(polynomial_features(X, degree=self.degree))
     return super(PolynomialRidgeRegression, self).predict(X)

示例#4

 def fit(self, X, y):
     X = normalize(polynomial_features(X, degree=self.degree))
     super(PolynomialRidgeRegression, self).fit(X, y)

示例#5

 def predict(self,X):
     X = polynomial_features(X,degree=self.degree)
     return super(PolynomialRegression,self).predict(X)

示例#6

 def fit(self,X,y):
     X = polynomial_features(X,degree=self.degree)
     super(PolynomialRegression,self).fit(X,y)

示例#7

 def predict(self,X):
     X = normalize(polynomial_features(X,degree=self.degree))
     return (LassoRegression,self).predict(X)