sklearn.metrics.pairwise.sigmoid_kernel — scikit-learn 0.20.4 documentation (original) (raw)
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 : float, default 1 |
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| Returns: | Gram matrix : array of shape (n_samples_1, n_samples_2) |