Yesterday, we released version 0.11 of the scikit-learn toolkit for machine learning in Python, and there was much rejoincing.
In the last 6 months, there have been many things happening with the scikit-learn. While I do not whish to give an exhaustive …
The scikit-learn got 3 students accepted for the Google summer of code.
Happy new year, every one. I have just released Joblib 0.6.0 beta. The highlights of the 0.6 release are a reworked enhanced pickler, and Python 3 support.
Many thanks go to the contributors to the 0.5 …
The NIPS conference: time for a sprint. The NIPS conference, one of the major conferences in machine learning, is hosted in Granada this year. I believe that it is the first time that it is hosted in Europe. As many of the scikit-learn developers are part of the wider NIPS …
Once again, we are looking for a junior developer to work on the scikit-learn. Below is the official job posting. As a personal remark, I would like to stress that this is a unique opportunity to be payed for two years to work on learning and improving the scientific Python …
Last week, I was at the Scipy conference in Austin. It was really great to see old friends, and Austin is such a nice place.
The Scipy conference was held in UT Austin’s conference center, which is a fantastic venue. This is the …
The scikit-learn is a Python module for machine learning. The project builds on the scientific and numerical tools of the scipy community to provide state-of-the-art data analysis tools. It is developed by a community of open source developers to which my research team (Parietal, INRIA) contributes a lot and is …
The scikit-learn team is organizing a sprint on April 1st (that next Friday). Join us in Paris, Boston, or on IRC!
With the rise of the data sciences, the scikit-learn, a BSD-licensed Python package for machine learning, is becoming an asset for more and more endeavors. Machine learning has traditionally …
We have been really crap at communicating the next scikit-learn coding sprint. It’s next week!
The coding sprint will take place the 8 and 9 September at INRIA Saclay, near Paris, in the room K110 (building K).
For those who cannot make it, it will be possible to participate …
We are organizing a coding sprint in Paris on scikit learn, machine learning in Python. The goal of this sprint is to set the API and the general coding guidelines of the scikit to be able to tackle many different statistical learning problems in a consistent framework.
This is why …
