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kernel comparision in Shogun #3135

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yorkerlin opened this issue Mar 30, 2016 · 14 comments
Open

kernel comparision in Shogun #3135

yorkerlin opened this issue Mar 30, 2016 · 14 comments

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@yorkerlin
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@karlnapf
reference:
http://scikit-learn.org/dev/auto_examples/classification/plot_classifier_comparison.html

@yorkerlin
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For example, we can use different kernels and inference methods.

@yorkerlin
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@karlnapf
I think it will be great if we can automatically include examples/cookbooks in Shoung's API doc.

See Examples using sklearn.gaussian_process.GaussianProcessRegressor in sklearn's GPR

http://scikit-learn.org/dev/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html#sklearn.gaussian_process.GaussianProcessRegressor

@karlnapf
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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

@yorkerlin
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@karlnapf
this issue is for kernel machine only :).
For classification in GP, there are many components to choose. eg, kernels, likelihoods (eg, logistic, probit), inference methods.

@karlnapf
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Why would that be different from what we have?

@yorkerlin
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Decision boundary may be different even when training accuracy is the same since we use different kernels/likelihoods/inference methods.

@yorkerlin
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@karlnapf
for example, Decision boundary in linear SVM is different from the one in RBF SVM.

reference:
http://scikit-learn.org/dev/auto_examples/classification/plot_classifier_comparison.html

@yorkerlin yorkerlin changed the title method comparision in GP model comparision in GP Mar 30, 2016
@karlnapf
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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?

@yorkerlin
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For example, GP using RBF kernel vs GP using linear kernel.

reference:
http://people.seas.harvard.edu/~dduvenaud/cookbook/

@yorkerlin
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BTW, only GP with RBF kernel is used in that plots.

@karlnapf
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karlnapf commented Apr 1, 2016

Well I think this is independent of GPs.
What about a cookbook on covariance functions and kernels in Shogun?

@yorkerlin yorkerlin changed the title model comparision in GP kernel comparision in Shogun Apr 1, 2016
@yorkerlin
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@karlnapf
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Do you maybe want to put that in a new (polished) version and put in a separate notebook?

@yorkerlin
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Add a notebook/cookbook about http://people.seas.harvard.edu/~dduvenaud/cookbook/ using the Shogun's GP.

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