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<p class="MsoNormal"><span lang="EN-US">Dear fieldtrip developers,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-autospace:none"><span lang="EN-US">I’m extremely enthusiastic about the newly implemented MVPA light toolbox on fieldtrip, thanks a lot! I’m trying out logistic regression on my data and would like to do a search grid for lambda
with cfg.mvpa.param.lambda = ‘auto’. However, I get the following error message in line 433 of train_logreg.m when calculating the gradient g = ((cfg.weights .* sigma)' * YX)'/N - sumyxN + lambda * w: matrix dimensions must agree.<o:p></o:p></span></p>
<p class="MsoNormal" style="text-autospace:none"><span lang="EN-US">If I just pass one value for lambda, it works fine.
<o:p></o:p></span></p>
<p class="MsoNormal" style="text-autospace:none"><span lang="EN-US">The same error occurs with the tutorial data. Here, cfg.weights has a 100x1 dimension, and sigma is 80x1 in size. I’m using Matlab 2017b and the most recent fieldtrip 2019-04-19 version.<o:p></o:p></span></p>
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<p class="MsoNormal" style="text-autospace:none"><span lang="EN-US">I don’t know where to fix this and would be very grateful for your help.<o:p></o:p></span></p>
<p class="MsoNormal" style="text-autospace:none"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-autospace:none">Best wishes,<o:p></o:p></p>
<p class="MsoNormal" style="text-autospace:none"><o:p> </o:p></p>
<p class="MsoNormal" style="text-autospace:none">Kirsten Herfurth<o:p></o:p></p>
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<p class="MsoNormal"><span lang="EN-US">Post-Doc at the MEG-lab in Erlangen, Germany<o:p></o:p></span></p>
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