Numpy References

numpy arrays

matrix = numpy.zeros([rows, columns])

Access using matrix[2,3] which will return the value in row 2 and column 3.

sum of log probabilities

• scipy.misc.logsumexp()

logsumexp([-2,-3]) = numpy.log(numpy.exp(-2) + numpy.exp(-3))
logsumexp(a, b) = log(e^a + e^b).