sklearn.metrics.pairwise.polynomial_kernel

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.

Parameters:
Xndarray of shape (n_samples_X, n_features)
Yndarray of shape (n_samples_Y, n_features), default=None
degreeint, default=3
gammafloat, default=None

If None, defaults to 1.0 / n_features.

coef0float, default=1
Returns:
Gram matrixndarray of shape (n_samples_X, n_samples_Y)