sklearn.metrics.pairwise.sigmoid_kernel

sklearn.metrics.pairwise.sigmoid_kernel(X, Y=None, gamma=None, coef0=1)[source]

Compute the sigmoid kernel between X and Y:

K(X, Y) = tanh(gamma <X, Y> + coef0)

Read more in the User Guide.

Parameters:
X : ndarray of shape (n_samples_1, n_features)
Y : ndarray of shape (n_samples_2, n_features)
gamma : float, default None

If None, defaults to 1.0 / n_features

coef0 : int, default 1
Returns:
Gram matrix : array of shape (n_samples_1, n_samples_2)