<div dir="ltr"><p class="MsoNormal"><span lang="EN-US" style="font-family:Arial,sans-serif;background-image:initial;background-repeat:initial">Hey guys, I already
analyzed my data but I think I can do better. I was wondering if you can give
me a hand.</span></p><p class="MsoNormal"><span lang="EN-US" style="font-family:Arial,sans-serif;background-image:initial;background-repeat:initial"><br></span></p>

<p class="MsoNormal"><span lang="EN-US" style="font-family:Arial,sans-serif;background-image:initial;background-repeat:initial">I have a visual task
with a continuous stimuli, oriented bars. I presented several times specific
degrees of the stimuli, so 15°, 30°, 60 and 75°. I tried to predict the
orientation of the bars by analizing VI, now, the problem is that I’m using a categorical
classifier (the one on the tutorial, LinearCSVM), I believe there should be a
better one for continuous data. Does that make any sense?</span></p><p class="MsoNormal"><span lang="EN-US" style="font-family:Arial,sans-serif;background-image:initial;background-repeat:initial"><br></span></p>

<p class="MsoNormal"><span lang="EN-US" style="font-family:Arial,sans-serif;background-image:initial;background-repeat:initial">Thanks! And sorry for
the newbie question</span><span lang="EN-US"></span></p></div>