sklearn.metrics.pairwise.polynomial_kernel(X, Y=None, degree=3, gamma=None, coef0=1)[source]

Compute the polynomial kernel between X and Y:

K(X, Y) = (gamma <X, Y> + coef0)^degree

Read more in the User Guide.


X : ndarray of shape (n_samples_1, n_features)

Y : ndarray of shape (n_samples_2, n_features)

degree : int, default 3

gamma : float, default None

if None, defaults to 1.0 / n_samples_1

coef0 : int, default 1


Gram matrix : array of shape (n_samples_1, n_samples_2)