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_samples_1 coef0 : int, default 1 |
|---|---|
| Returns: |
Gram matrix: array of shape (n_samples_1, n_samples_2) : |
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Licensed under the 3-clause BSD License.
http://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.sigmoid_kernel.html