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