[Mne_analysis] Mne python compute covariance

[Peter Goodin]

Hi Alex,


I'm using the standard mne.compute_covariance call


cov = mne.compute_covariance(epochs['condition'], method = 'shrunk', n_jobs = 3).


I've attached a link to the error below. Also, I've tried using the PCA method and get another error message (with the helpful suggestion to contact you guys at the end!). Please find the link below too.


Peter.


shrunk estimate: https://gist.github.com/orcasha/c990decc15f38a3300ffa6e2f976eb25


PCA estimate: https://gist.github.com/orcasha/443bc7e74fd3e7e50a7ce1371b4bef31



_______________________
Dr Peter Goodin,

Brain and Psychological Sciences Research Centre (BPsyC)
Swinburne University,
Hawthorn, Vic, 3122
________________________________
From: mne_analysis-bounces at nmr.mgh.harvard.edu <mne_analysis-bounces at nmr.mgh.harvard.edu> on behalf of Alexandre Gramfort <alexandre.gramfort at telecom-paristech.fr>
Sent: 28 March 2017 21:00:42
To: Discussion and support forum for the users of MNE Software
Subject: Re: [Mne_analysis] Mne python compute covariance

hi Peter,

can you share a gist to replicate the problem?

I think I know what's going on but with a gist I am sure it fixes your pb.

thx
Alex

On Tue, Mar 28, 2017 at 12:58 AM, Peter Goodin <pgoodin at swin.edu.au> wrote:
> Hi,
>
> I'm getting the following error
> (PicklingError: Can't pickle <class 'mne.cov._ShrunkCovariance'>: it's not
> found as mne.cov._ShrunkCovariance)
> when running computing covariance. It happens at the cross validation stage.
>
> Any help would be appreciated.
>
> Thanks,
>
> Peter
>
>
>
>
>
> _______________________
> Dr Peter Goodin,
>
> Brain and Psychological Sciences Research Centre (BPsyC)
> Swinburne University,
> Hawthorn, Vic, 3122
>
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