sklearn.metrics.pairwise.polynomial_kernel¶
- sklearn.metrics.pairwise.polynomial_kernel(X, Y=None, degree=3, gamma=None, coef0=1)¶
Compute the polynomial kernel between X and Y:
K(X, Y) = (gamma <X, Y> + coef0)^degree
Parameters : X : array of shape (n_samples_1, n_features)
Y : array of shape (n_samples_2, n_features)
degree : int
Returns : Gram matrix : array of shape (n_samples_1, n_samples_2)