[MATRIX-SIG] two newbie questions
Kelvin Lee
acura@vcn.bc.ca
Wed, 23 Jul 1997 18:49:02 -0700 (PDT)
I'm still struggling to get a handle on NumPy... Two newbie questions:
1) How much memory does an NxN Float16 matrix use?
2) What's the most efficient way of constructing a "correlation-like"
matrix of a given function for a data set? eg. using, say, RMSE instead
of r?
To show you where I'm at, I'm stuck with:
def correlation_like(X, function):
R = zeros((len(X), len(X)), Float16)
for j in range(len(X)):
for i in range(len(X)):
R[i,j] = function(X[i], X[j])
return R
Obviously this doesn't take into account symmetry etc. Any ideas to get me
thinking in a matrix kind of way would be appreciated!
Kelvin
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