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kernel comparision in Shogun #3135
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For example, we can use different kernels and inference methods. |
@karlnapf See |
Integrating this is exactly the point of the cookbook. So yes, once GSoC is over, we have many more than now and we can do this. BTW there already is a notebook that compares the classifiers #3019 |
@karlnapf |
Why would that be different from what we have? |
Decision boundary may be different even when training accuracy is the same since we use different kernels/likelihoods/inference methods. |
@karlnapf reference: |
Maybe we are misunderstanding each other: Such plots are already in that notebook I referenced above. Kernel SVM vs linear SVM vs GP. I don't see a reason to do another comparison for GPs. Why do you wanna do that? |
For example, reference: |
BTW, only GP with |
Well I think this is independent of GPs. |
Do you maybe want to put that in a new (polished) version and put in a separate notebook? |
Add a notebook/cookbook about http://people.seas.harvard.edu/~dduvenaud/cookbook/ using the Shogun's GP. |
@karlnapf
reference:
http://scikit-learn.org/dev/auto_examples/classification/plot_classifier_comparison.html
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