sklearn.metrics.pairwise.rbf_kernel

sklearn.metrics.pairwise.rbf_kernel(X, Y=None, gamma=None)[source]

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

K(x, y) = exp(-gamma ||x-y||^2)

for each pair of rows x in X and y in Y.

Parameters:

X : array of shape (n_samples_X, n_features)

Y : array of shape (n_samples_Y, n_features)

gamma : float

Returns:

kernel_matrix : array of shape (n_samples_X, n_samples_Y)