8.17.4.4. sklearn.metrics.pairwise.polynomial_kernel¶
- sklearn.metrics.pairwise.polynomial_kernel(X, Y=None, degree=3, gamma=0, 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) 
