Hi everybody,
I have been trying to figure this out but it's unclear to me. I have a set
of data, where each data point is represented by a histogram. I want to
apply the chi-squared kernel, shown at
http://scikit-learn.org/0.11/modules/kernel_approximation.html#additive-chi-squared-kernelfor
my SVM. How do I use this (I suppose, the AdditiveChi2Sampler class)
with sklearn's SVM for classification? I've worked with simple data points
and the default kernel, but I can't find examples using the chi-squared
kernel. Thank you
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