Enhanced astroML book figures.
We're hacking figures from the textbook
"Statistics, Data Mining, and Machine Learning in Astronomy"
Update September 25, 2014 We hacked on the book figures at the Astro Data Hack Week .
It was SICK. We've added two hacked figures:
Figure 8.10 was hacked by Beth Reid (BIDS/Berkeley Astro) and Phil Marshall (SLAC).
They used MPLD3 to visualize the family of
Gaussian Process curves satisfying
the constraints of the data points.
Figure 9.14 was hacked by Wilma Trick and Michael Walther (both MPIA), which exploits the "interact"
feature in IPython notebook to animate Random Forests. To see the interactive features,
fork the repo and fire up an IPython notebook.
Submit your own hacks of the book figures by Pull Requests to this repo!