Toggle Menu
Prev Up Next

scikit-learn 1.3.2
Other versions

Please cite us if you use the software.

# `sklearn.metrics.pairwise`.kernel_metrics

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.

  Returns:
    kernel_metrics dict

      Returns valid metrics for pairwise_kernels.