Category Scikit-Learn

GSoC : The end of another journey

Hi, I was postponing the last post for the last of my Pull Requests to get merged. Now since it got merged, I do not have any reason to procrastinate. This is the work that I have done across summer, with a short description of each, (Just in case you were wondering why the “another” […]

Scikit-learn: Logistic Regression CV

Hi, It has been a long time since I had posted something on my blog. I had the opportunity to participate in the scikit-learn sprint recently, with the majority of the core-developers. The experience was awesome, but most of the time I had no idea what people were talking about, and I realised I have […]

GSoC update – Fixing precompute and LogReg CV

Hi, The first part of the last few days of have been the most productive and the last part well not so much. 1. Fixing precompute for ElasticNetCV The function argument precompute=”auto” was being unused, in ElasticNetCV as mentioned in my previous post. Setting precompute equals auto uses a gram variant of the input matrix […]

GSoC 2nd week: Roadblocks and progress

Hi. It has been another slow week, and the heat and laziness at home (holiday season) isn’t quite helping. However I did manage to do a bit of work and this post will serve as a remainder for me to complete all the work that I have accumulated by the end of next week. 1. […]

Releasing the GIL and coordinate descent

Hi, the first week of (another) Google Summer of Code has ended, and I just realised that it is not going to be a joyride. Most of this week was spent in benchmarking, and trying to complete (?) this PR and so I did not write much code. However I learnt quite a bit in […]

Sklearn – GSoC 2014

My proposal, Improved Linear Models ( has been selected for GSoC 2014 mentored by Alex and Jaidev. (A coincidence that my last GSoC proposal also started with Improved). Sklearn got 4 slots this time and all the best to my fellow students (Issam, Hamzeh and Maheshakya). Thanks to Alex, Gael, Vlad and other mentors for […]