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<body dir="ltr"><p><span style="padding: 3px 10px; border-radius: 5px; color: #ffffff; font-weight: bold; display: inline-block; background-color: #ff0000;"> External Email - Use Caution </span></p><p></p>
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I did reshape because it's in example, if it's too heavy I should refuse this conversion?<br>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>От:</b> mne_analysis-bounces@nmr.mgh.harvard.edu <mne_analysis-bounces@nmr.mgh.harvard.edu> от имени JR KING <jeanremi.king@gmail.com><br>
<b>Отправлено:</b> 7 февраля 2019 г. 16:03<br>
<b>Кому:</b> Discussion and support forum for the users of MNE Software<br>
<b>Тема:</b> Re: [Mne_analysis] Linear classifier on sensor data with plot patterns and filters</font>
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<p><span style="padding:3px 10px; border-radius:5px; color:#ffffff; font-weight:bold; display:inline-block; background-color:#ff0000"> External Email - Use Caution </span></p>
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<div>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)</div>
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<div>meg_data = meg_epochs.get_data().reshape(len(labels), -1)</div>
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<div>The covariance of this matrix will be pretty heavy.</div>
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<div>JR<br>
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<div dir="ltr" class="x_gmail_attr">On Thu, 7 Feb 2019 at 09:57, Alexandre Gramfort <<a href="mailto:alexandre.gramfort@inria.fr">alexandre.gramfort@inria.fr</a>> wrote:<br>
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External Email - Use Caution <br>
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I cannot guess.<br>
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I need to know the size of the new data.<br>
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Alex<br>
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