User 4707 | 4/13/2016, 2:13:38 PM
Hi I have a problem with performance
I have SFrame with 5000 rows and 50 columns. Each cell contains a number in range -127 — 128. Actually it's really small array of data, approx. 250kB:
But when I try to save it on HDD (via .save method) python.exe takes all CPU and memory resources and then I have only one decision: hard reset.
The same behaviour is when I try to transform this SFrame to numpy array via method .to_numpy().
What I do wrong?
PS I have 16 Gb of RAM and core i5-3570
PPS I use just sframe module instead of the whole graphlab