laplacian_kernel(X, Y=None, gamma=None)¶
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.
- Xarray of shape (n_samples_X, n_features)
- Yarray of shape (n_samples_Y, n_features), default=None
- gammafloat, default=None
If None, defaults to 1.0 / n_features
- kernel_matrixarray of shape (n_samples_X, n_samples_Y)