sklearn.metrics.pairwise.chi2_kernel(X, Y=None, gamma=1.0)
[source]
Computes the exponential chisquared kernel X and Y.
The chisquared kernel is computed between each pair of rows in X and Y. X and Y have to be nonnegative. This kernel is most commonly applied to histograms.
The chisquared kernel is given by:
k(x, y) = exp(gamma Sum [(x  y)^2 / (x + y)])
It can be interpreted as a weighted difference per entry.
Read more in the User Guide.
Parameters: 


Returns: 

See also
additive_chi2_kernel
sklearn.kernel_approximation.AdditiveChi2Sampler
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Licensed under the 3clause BSD License.
http://scikitlearn.org/stable/modules/generated/sklearn.metrics.pairwise.chi2_kernel.html