2013/8/24 Peter Prettenhofer :
> the SGD code assumes that the data is in one continouse memory segment -
> does this hold for memory mapped arrays?
> What if you create a memory mapped array that is larger than the available
> memory?
Yes, that holds, and an mmap that is larger than the available
the SGD code assumes that the data is in one continouse memory segment -
does this hold for memory mapped arrays?
What if you create a memory mapped array that is larger than the available
memory?
there are no test cases that cover input of memory mapped arrays -- if we
want to support those I str
Is it maybe related to the OS, as it seems that the problem is with opening
the memmapped file?
Vlad
On Sat, Aug 24, 2013 at 1:52 PM, Olivier Grisel wrote:
> Sounds like a serious bug, could you please open an issue on github?
>
> --
> Olivier
>
>
> -
Sounds like a serious bug, could you please open an issue on github?
--
Olivier
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Hello, I'm running into a segmentation fault with the following snippet
along with the core dump output. The scikit version that I'm on
is scikit_learn-0.14.1.
import numpy as np
data = np.memmap('/tmp/features.dat', dtype='float64', mode='r',
shape=(4000,100))
target = np.memmap('/tmp/targets
