sklearn.metrics.pairwise.kernel_metrics¶
- sklearn.metrics.pairwise.kernel_metrics()[source]¶
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 ‘sigmoid’ sklearn.pairwise.sigmoid_kernel ‘cosine’ sklearn.pairwise.cosine_similarity