<div dir="ltr"><div class="gmail_default" style="color:#333399">Hello Eric, please allow me to suggest you CC the developer of AMICA Dr.Palmer, on your AMICA-related emails to the eeglablist. He may able to provide the easiest, quickest answers. Of course, you may also here back from other AMICA users on the list at some point. When you have a solution to your queries, please share them with the list so that other users can benefit from your experiences.</div><div class="gmail_extra"><br><div class="gmail_quote">On Fri, Nov 3, 2017 at 7:25 AM, Eric Rawls <span dir="ltr"><<a href="mailto:elrawls@email.uark.edu" target="_blank">elrawls@email.uark.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Hi all,<div><br></div><div>I am curious about the stopping criteria for amica15. It looks like the default is for the algorithm to stop at 2000 iterations, or a gradient of 1e-7, or an LL change of 1e-9, whichever comes first.</div><div><br></div><div>However, every time I've run amica it is stopped only by reaching the 2000 iter limit; it never reaches the gradient or LL cutoff for stopping. The gradient generally hovers somewhere around 1e--5 and the LL changes by 1e-6 by the last iteration.</div><div><br></div><div>How likely is it for amica to actually hit these default cutoff values? Does this indicate failure in separation, or is this essentially just a noise threshold which it is unlikely amica will pass? It is worth noting that the last time I ran amica on a dataset it hit an nd of 2e-5 by iter 875 and stayed essentially at the same level until iter 2000.</div><div><br></div><div>Thanks,</div><div>Eric Rawls</div><div>Graduate Research Assistant</div><div>University of Arkansas</div><div><br></div><div><br></div><div><br></div><div><br></div></div>
<br>______________________________<wbr>_________________<br>
Eeglablist page: <a href="http://sccn.ucsd.edu/eeglab/eeglabmail.html" rel="noreferrer" target="_blank">http://sccn.ucsd.edu/eeglab/ee<wbr>glabmail.html</a><br>
To unsubscribe, send an empty email to <a href="mailto:eeglablist-unsubscribe@sccn.ucsd.edu" target="_blank">eeglablist-unsubscribe@sccn.uc<wbr>sd.edu</a><br>
For digest mode, send an email with the subject "set digest mime" to <a href="mailto:eeglablist-request@sccn.ucsd.edu" target="_blank">eeglablist-request@sccn.ucsd.e<wbr>du</a><br></blockquote></div><br></div></div>