Hi I'm N.G.Sai from India GSOC 2020 aspirant, Riot:@JonPsy Github:@NanuSai, this mail is more specifically addressed to Mr. Heiko Strethmann and Mr. Fernando Iglesias.
I'm interested in Large Scale Approximate Kernel Method as posted under GSoC 2020. I've made few PRs(4 merged, more coming) to the repository. I've read through the requirements list and started the benchmarking issue with KRR. I've made a repo addressing Sklearn vs shogun https://github.com/NanuSai/shogun-benchmarks for SVM and KRR. I'd like to know what's the next step required. I'm also having some difficulties understanding Random Fourier Features and how to implement them in python. Any help from anyone is appreciated, I'd also like to get into contact with the said people if possible. Warm regards, Nanubala Gnana Sai
