mars.learn.metrics.pairwise.
rbf_kernel
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.
Read more in the User Guide.
X (tensor of shape (n_samples_X, n_features)) –
Y (tensor of shape (n_samples_Y, n_features)) –
gamma (float, default None) – If None, defaults to 1.0 / n_features
kernel_matrix
tensor of shape (n_samples_X, n_samples_Y)