On 1/10/12 7:34 PM, Ashish Runthala wrote:
Respected Sir,
Are you saying about this line?
for (weights, write_fit, whole) in (((1., 0., 0., 0., 1., 0.), False, True),
((1., 0.5, 1., 1., 1., 0.), False, True),
((1., 1., 1., 1., 1., 0.), True, False)):
That looks like a loop from one of the SALIGN example scripts, which simply calls SALIGN three times. If you look further down in the script you will see this:
aln.salign(..., feature_weights=weights)
i.e. SALIGN is being called with the weights given by the first argument
in that 'for' statement above.
What do each of the 6 float constants represent?
They're weights - just numbers that multiply each feature's distance matrix. The distance matrix used by SALIGN is simply a linear combination of these.
Also tell me What you exactly mean by feature_weights=[0]*6.
I mean exactly what it says - that's elementary Python syntax. [0]*6 is the same as saying [0,0,0,0,0,0]. In other words, all of the features will have zero weight, so SALIGN won't calculate any of them.
Ben Webb, Modeller Caretaker
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