sklearn.metrics.pairwise.kernel_metrics()
sklearn.metrics.pairwise.kernel_metrics
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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.
© 2007–2016 The scikit-learn developers
Licensed under the 3-clause BSD License.
http://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.kernel_metrics.html