<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><div dir="ltr">Hi Giulia,<div><br></div><div>I think you should be able to change the method:</div><div><br></div><div>model = sklearn.linear_model.SGDClassifier()</div><div>model.fit = model.partial_fit</div><div>slider = mne.decoding.SlidingEstimator(model)</div><div>for X, y in train_batches:</div><div> slider.fit(X, y)</div><div><br></div><div>Best</div><div><br></div><div>JR</div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Wed, 5 Aug 2020 at 18:40, Giulia Gennari <<a href="mailto:giulia.gennari1991@gmail.com">giulia.gennari1991@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><p><span style="padding:3px 10px;border-radius:5px;color:rgb(255,255,255);font-weight:bold;display:inline-block;background-color:rgb(255,0,0)"> External Email - Use Caution </span></p><p></p><div dir="ltr">Hi!<div><br></div><div>I would need to try decoding with incremental learning (EEG data).</div><div>I was planning to use logistic regression by means of the <a href="https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html" target="_blank">SGDClassifier</a> .</div><div>I would then need to call .partial_fit to make my estimator learn on each of my training sets.</div><div>However:</div><div><pre style="box-sizing:border-box;overflow:auto;font-size:14px;padding:1px 0px;margin-top:0px;margin-bottom:0px;line-height:inherit;color:rgb(0,0,0);word-break:break-all;border:0px;border-radius:0px;white-space:pre-wrap;vertical-align:baseline">'GeneralizingEstimator' object has no attribute 'partial_fit'</pre></div><div>Same issue for SlidingEstimator. <br></div><div>Is there a way to work around this limitation?</div><div><br></div><div>Thank you so so much in advance!</div><div><br></div><div>Giulia Gennari </div></div>
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