sklearn.metrics.pairwise.laplacian_kernel — scikit-learn 0.20.4 documentation (original) (raw)
sklearn.metrics.pairwise.
laplacian_kernel
(X, Y=None, gamma=None)[source]¶
Compute the laplacian kernel between X and Y.
The laplacian kernel is defined as:
K(x, y) = exp(-gamma ||x-y||_1)
for each pair of rows x in X and y in Y. Read more in the User Guide.
New in version 0.17.
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_features |
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Returns: | kernel_matrix : array of shape (n_samples_X, n_samples_Y) |