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Shogun Benchmarks

The goal here is to benchmarks existing algorithms implemented in shogun repository and compare it to well known libraries say sklearn. This repository shall be focusing mainly on algorithms which implement the so called "kernel trick" and see how it scales with increasing k and measure the performance. Heavy inspiration has been drawn from this repository

NOTE

This repository uses shogun API from the conda and hence is old. The result may vary with the new API, and this notebook will be updated accordingly in due time.

More to come soon .. ! :D

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Benchmarking shogun algorithms

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