On 12/03/2016 03:10 PM, Alekh Karkada Ashok wrote:
Hey All,
I chose MLP because they were images and I have heard MLPs perform better.
Better than a convolutional neural net? Whoever told you that was wrong.
I usually don't make absolute statements like this, but this is
something that is pretty certain.
Where do you want to me to open the issue? GitHub? I don't think the
error is only in documentation. Because when Y is [2030400,1] there is
no MemoryError (treated as 2030400 samples with a single feature) and
when I try to fit [1,2030400] it throws MemoryError. If the case was
memory, both should have thrown the error right?
MLPClassifier actually supports multi-label classification (which is not
documented correctly and I made an issue here:
https://github.com/scikit-learn/scikit-learn/issues/7972)
MLPClassifier does not support multi-output (multi-class multi-output),
which is probably what you want.
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