Hey Andy,
Hmmm, that might be it. My machine only has 8GB of RAM - why didn't I
think of that? Indeed the RAM usage seems to have pretty large
fluctuations for the process, and when I re-run now instead of just
silently dying its choking up my whole computer - indicative of a RAM issue.
Thank y
Hey Andy,
Sorry, yes, by failing I mean it never finishes, and the python process
dies without raising any exceptions.
The shape of the data is (46196,114).
Also numpy.all(numpy.isfinite(my_data)) returns True before I call
transformer.fit()
I'm running on python 2.7.8 numpy 1.9.1 sklearn 0.15.2
Hi Sklearn,
I'm using Kernel PCA with the rbf kernel for projecting data into 3
dimensions for viewing alongside normal PCA and a stereographic projection
class that I wrote myself. Both the PCA and SGP classes seem to be
functioning correctly on this data set, but when I get to the .fit() method
