sklearn.metrics.pairwise.linear_kernel

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

Compute the linear kernel between X and Y.

Read more in the User Guide.

Parameters

Xndarray of shape (n_samples_X, n_features)

A feature array.

Yndarray of shape (n_samples_Y, n_features), default=None

An optional second feature array. If None, uses Y=X.

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.

Returns

Gram matrixndarray of shape (n_samples_X, n_samples_Y)

The Gram matrix of the linear kernel, i.e. X @ Y.T.