Hi,
I'm interested in computing the Temporal generalization so I followed this
guide
( https://mne.tools/0.17/auto_tutorials/plot_sensors_decoding.html#temporal-generalization
)
I'm using the exact same code as in the example. In my case, I have X being
a 30x256x4000 matrix and y is a 30x1 array (since I have 30 trials, 256
channels and 4000 time samples)
The thing is that processing this code takes a long time, around 60 hs. My
pc specs are: Intel Core i7-7700 CPU @ 3.60 Hz x 8 and 32 GB of RAM.
Is this normal? Am I doing something wrong?
I think it is normal: you are training 4000 classifiers!
Any chance you can downsample a bit? 125Hz resolution might be good enough
already.
Also, it is very useful to use parallel jobs e.g. to try: n_jobs=*-1*
Okay, that makes sense. I didn't know you could parallelize so easily!
Thanks Giulia!
El vie., 2 de oct. de 2020 a la(s) 12:29, Giulia Gennari (
giulia.gennari1991 at gmail.com) escribi?:
External Email - Use Caution
Hello Gabriel,
I think it is normal: you are training 4000 classifiers!
Any chance you can downsample a bit? 125Hz resolution might be good enough
already.
Also, it is very useful to use parallel jobs e.g. to try: n_jobs=*-1*
Good luck!
Giulia
External Email - Use Caution
Hi,
I'm interested in computing the Temporal generalization so I followed
this guide
( https://mne.tools/0.17/auto_tutorials/plot_sensors_decoding.html#temporal-generalization
)
I'm using the exact same code as in the example. In my case, I have X
being a 30x256x4000 matrix and y is a 30x1 array (since I have 30 trials,
256 channels and 4000 time samples)
The thing is that processing this code takes a long time, around 60 hs.
My pc specs are: Intel Core i7-7700 CPU @ 3.60 Hz x 8 and 32 GB of RAM.
Is this normal? Am I doing something wrong?