Re: [Scikit-learn-general] using Support vector regression/gaussian regression with a Pearson VII function kernel

Upgrading to the dev version might be the better route, though. On 04/01/2016 01:56 AM, Vincent Dubourg wrote: Hi, Manoj's tip only works if you are already using the 0.18dev version of sklearn that brings a total refactoring of the gaussian_process submodule. If you are still using the late

[Scikit-learn-general] DOI for scikit-learn

Hi all. I realized there is no DOI for scikit-learn releases. Should we create one? I've been talking with some agencies that require projects to have a DOI. The benefits could be easier and more accurate citations of the project (not the paper). A possible disadvantage could be splitting citatio

Re: [Scikit-learn-general] using Support vector regression/gaussian regression with a Pearson VII function kernel

Thanks for the pointers. I am using stable version 0.17 so I used nested cross validation with different corr types. I could get the best result using linear correlation. However it was still short of what i got using universal Pearson VII function based kernel ( as available in weka, off the sh