sklearn.metrics.pairwise.kernel_metrics()

Valid metrics for pairwise_kernels

This function simply returns the valid pairwise distance metrics. It exists, however, to allow for a verbose description of the mapping for each of the valid strings.

The valid distance metrics, and the function they map to, are:

metric	Function
?additive_chi2?	sklearn.pairwise.additive_chi2_kernel
?chi2?	sklearn.pairwise.chi2_kernel
?linear?	sklearn.pairwise.linear_kernel
?poly?	sklearn.pairwise.polynomial_kernel
?polynomial?	sklearn.pairwise.polynomial_kernel
?rbf?	sklearn.pairwise.rbf_kernel
?laplacian?	sklearn.pairwise.laplacian_kernel
?sigmoid?	sklearn.pairwise.sigmoid_kernel
?cosine?	sklearn.pairwise.cosine_similarity

Read more in the User Guide.