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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_samples_1

coef0 : int, default 1

Returns:

Gram matrix : array of shape (n_samples_1, n_samples_2)

Links:

http://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.sigmoid_kernel.html

doc_scikit_learn

2017-01-15 04:26:37

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