py_genetic wrote: >>No! matrix objects use matrix multiplication for *. You seem to need >>elementwise >>multiplication. > > No! when you mult a vector with itself transposed, the diagonal of the > resulting matrix is the squares of each error (albeit you do a lot of > extra calc), then sum the squares, ie trace(). Its a nifty trick, if > you don't have too much data 25000x25000 matrix in mem and youre using > matricies ie. batch learning. The actual equation includes multiply by > 1/2*(sum of the squares), but mean squared error can be more telling > about error and cross entropy is even better, becuase it tells you how > well youre predicting the posterior probabilies...
Now I'm even more confused. What kind of array is "error" here? First you tell me it's a (25000, 80) array and now you are telling me it is a (25000,) array. Once you've defined what "error" is, then please tell me what the quantity is that you want to calculate. I think I told you several different wrong things, previously, based on wrong assumptions. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco -- http://mail.python.org/mailman/listinfo/python-list
