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
If
None, usesY=X.- 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)