sklearn.metrics.pairwise.linear_kernel(X, Y=None, dense_output=True)[source]

Compute the linear kernel between X and Y.

Read more in the User Guide.

X : array of shape (n_samples_1, n_features)
Y : array of shape (n_samples_2, n_features)
dense_output : boolean (optional), default True

Whether to return dense output even when the input is sparse. If False, the output is sparse if both input arrays are sparse.

New in version 0.20.

Gram matrix : array of shape (n_samples_1, n_samples_2)