Python polynomial_features示例

示例#1

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

示例#2

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

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)