# Question regarding computation time of Temporal Generalization **URL:** \ **Category:** Mailing List Archive (read-only)\ **Tags:** list-archive\ **Created:** [October 2, 2020, 3:15pm UTC](https://mne.discourse.group/t/question-regarding-computation-time-of-temporal-generalization/2334 "2020-10-02T15:15:12Z")\ **Posts on this page:** 3\ **Page:** 1
**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\ **Post date:** [October 2, 2020, 3:15pm UTC](https://mne.discourse.group/t/question-regarding-computation-time-of-temporal-generalization/2334/1 "2020-10-02T15:15:12Z")
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](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? Thank you! Gabriel -------------- next part -------------- An HTML attachment was scrubbed... URL: [http://mail.nmr.mgh.harvard.edu/pipermail/mne\_analysis/attachments/20201002/6a25c53a/attachment.html](http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20201002/6a25c53a/attachment.html) ---
**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\ **Post date:** [October 2, 2020, 3:28pm UTC](https://mne.discourse.group/t/question-regarding-computation-time-of-temporal-generalization/2334/2 "2020-10-02T15:28:28Z")
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 ---
**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\ **Post date:** [October 2, 2020, 3:36pm UTC](https://mne.discourse.group/t/question-regarding-computation-time-of-temporal-generalization/2334/3 "2020-10-02T15:36:09Z")
External Email - Use Caution 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](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? > > > > Thank you! > > Gabriel > > \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ > > Mne\_analysis mailing list > > Mne\_analysis at nmr.mgh.harvard.edu > > [Mne\_analysis Info Page](https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis) > > \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ > Mne\_analysis mailing list > Mne\_analysis at nmr.mgh.harvard.edu > [Mne\_analysis Info Page](https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis) -------------- next part -------------- An HTML attachment was scrubbed... URL: [http://mail.nmr.mgh.harvard.edu/pipermail/mne\_analysis/attachments/20201002/1ff22547/attachment-0001.html](http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20201002/1ff22547/attachment-0001.html)