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sklearn.metrics.pairwise.rbf_kernel()

sklearn.metrics.pairwise.rbf_kernel(X, Y=None, gamma=None) [source]

Compute the rbf (gaussian) kernel between X and Y:

K(x, y) = exp(-gamma ||x-y||^2)

for each pair of rows x in X and y in Y.

Read more in the User Guide.

Parameters:

X : array of shape (n_samples_X, n_features)

Y : array of shape (n_samples_Y, n_features)

gamma : float, default None

If None, defaults to 1.0 / n_samples_X

Returns:

kernel_matrix : array of shape (n_samples_X, n_samples_Y)

Links:

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

doc_scikit_learn

2017-01-15 04:26:37

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