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.

Xndarray of shape (n_samples_X, n_features)
Yndarray of shape (n_samples_Y, n_features), default=None
dense_outputbool, 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 matrixndarray of shape (n_samples_X, n_samples_Y)