I would like to figure out which row in a two-dimensional matrix has
the lowest mean value. I suppose I could scissors the matrix up into
a bunch of one-dimensional matrices then use a bunch of jit.3m’s to
compute the mean of each row, but that doesn’t sound very efficient
or scalable. Anyone have a better idea?
You can use xray.jit.mean (
thanks for that Wes,
I use it all the time, i suppose with the Lobjects is the external I
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