Anthony Liu <[EMAIL PROTECTED]> writes: > OK, I actually just want to "manually" create Hidden > Markov Models by randomly generating the initial state > probabilities PI,
OK, this sounds like you actually want to divide the unit interval up into pieces of varying sizes. Example (untested): n = 10 # number of pieces desired # Take the unit interval [0,1] and sprinkle in n-1 random points s = sorted([0,1] + [random() for i in xrange(n-1)]) # now find the size of each sub-interval and make a list r = [(s[i+1] - s[i]) for i in xrange(n)] print sum(r) # should be 1.0 within rounding error -- http://mail.python.org/mailman/listinfo/python-list
