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sklearn.metrics.pairwise.kernel_metrics()
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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:
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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.
sklearn.metrics.pairwise.kernel_metrics()
2017-01-15 04:26:32
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