Announce: first public release of lightning!, a library for large-scale linear classification, regression and ranking in Python. The library was started a couple of years ago by Mathieu Blondel who also contributed the vast majority of source code. I joined recently its development and decided it was about time for …
Together with other scikit-learn developers we've created an umbrella organization for scikit-learn-related projects named scikit-learn-contrib. The idea is for this organization to host projects that are deemed too specific or too experimental to be included in the scikit-learn codebase but still offer an API which is compatible with scikit-learn and …
Recently I've implemented, together with Arnaud Rachez, the SAGA[1] algorithm in the lightning machine learning library (which by the way, has been recently moved to the new scikit-learn-contrib project). The lightning library uses the same API as scikit-learn but is particularly adapted to online learning. As for the SAGA …
Cross-validation iterators in scikit-learn are simply generator objects, that is, Python objects that implement the __iter__ method and that for each call to this method return (or more precisely, yield) the indices or a boolean mask for the train and test set. Hence, implementing new cross-validation iterators that behave as …
Due to lack of time and interest, I'm no longer maintaining this project. Feel free to grab the sources from https://github.com/fabianp/nbgallery and fork the project.
TL;DR I created a gallery for IPython/Jupyter notebooks. Check it out :-)
A couple of months ago I put online …
Last Friday was PyData Paris, in words of the organizers, ''a gathering of users and developers of data analysis tools in Python''.
The organizers did a great job in putting together and the event started already with a full room for Gael's keynote
My take-away message from the talks is …
My latest research paper[1] deals with the estimation of the hemodynamic response function (HRF) from fMRI data.
This is an important topic since the knowledge of a hemodynamic response function is what makes it possible to extract the brain activation maps that are used in most of the impressive …
As part of the development of memory_profiler I've tried several ways to get memory usage of a program from within Python. In this post I'll describe the different alternatives I've tested.
psutil is a python library that provides an interface for retrieving information on running processes. It …
In this post I compar several implementations of Logistic Regression. The task was to implement a Logistic Regression model using standard optimization …
TL;DR: I've implemented a logistic ordinal regression or proportional odds model. Here is the Python code
The logistic ordinal regression model …