[Mne_analysis] Linear classifier on sensor data with plot patterns and filters

[Пилюгина Нина]

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n_times is 348000 and total projection items are 10.

Probably there's a very simple solution, but I'm quite new for all this.


________________________________
От: mne_analysis-bounces at nmr.mgh.harvard.edu <mne_analysis-bounces at nmr.mgh.harvard.edu> от имени Alexandre Gramfort <alexandre.gramfort at inria.fr>
Отправлено: 7 февраля 2019 г. 17:04
Кому: Discussion and support forum for the users of MNE Software
Тема: Re: [Mne_analysis] Linear classifier on sensor data with plot patterns and filters

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what is n_times for you?
basically how many samples and features do you have?

A

On Thu, Feb 7, 2019 at 10:25 AM Пилюгина Нина <aphina_n at outlook.com> wrote:
>
>         External Email - Use Caution
>
> I did reshape because it's in example, if it's too heavy I should refuse this conversion?
> ________________________________
> От: mne_analysis-bounces at nmr.mgh.harvard.edu <mne_analysis-bounces at nmr.mgh.harvard.edu> от имени JR KING <jeanremi.king at gmail.com>
> Отправлено: 7 февраля 2019 г. 16:03
> Кому: Discussion and support forum for the users of MNE Software
> Тема: Re: [Mne_analysis] Linear classifier on sensor data with plot patterns and filters
>
>
>         External Email - Use Caution
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> I think it s because you reshape your meg data (n_trials, n_sensors, n_times) into a matrix (n_trials, n_sensors * n_times)
>
> meg_data = meg_epochs.get_data().reshape(len(labels), -1)
>
> The covariance of this matrix will be pretty heavy.
>
> JR
>
>
> On Thu, 7 Feb 2019 at 09:57, Alexandre Gramfort <alexandre.gramfort at inria.fr> wrote:
>
>         External Email - Use Caution
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> I cannot guess.
>
> I need to know the size of the new data.
>
> Alex
>
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