9.8.4.4. sklearn.metrics.pairwise.rbf_kernel

sklearn.metrics.pairwise.rbf_kernel(X, Y=None, gamma=0)

Compute the rbf (gaussian) kernel between X and Y.

K(X, Y) = exp(-gamma ||X-Y||^2)

Parameters :

X: array of shape (n_samples_1, n_features) :

Y: array of shape (n_samples_2, n_features) :

gamma: float :

Returns :

Gram matrix: array of shape (n_samples_1, n_samples_2) :