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

Xndarray of shape (n_samples_X, n_features)

Yndarray of shape (n_samples_Y, n_features), default=None

gammafloat, default=None

If None, defaults to 1.0 / n_features.

coef0float, default=1

Returns

Gram matrixndarray of shape (n_samples_X, n_samples_Y)