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all models are wrong

-> Going both ways in R <- finding homologous probes using biomaRt Profiling in R More Segment HMMs Python and Numpy integers MICROCOSMOGRAPHIA ACADEMICA Pebl The Pirate Bay Trial Latex, Beamer, Python, Beauty
Nasty Python Things
2009-03-27 · via all models are wrong

March 27, 2009

So I seem to keep writing commands that look like this:

delta[t][q] = max(
    [delta[tau][j] +
        pylab.log(
            pylab.array([
                output_dist(Q=q,L=(t-tau),Y=Y[tau+1:t]),
                duration_dist(Q=q,L=(t-tau)),
                transition_dist[q,j]]).prod())            
    for j in self.state_range])

Is this bad? The above is the max of a list. The list is made up using a list comprehension, where each element is the log of a product of a 1D array plus a bit. Each element of each array is a call to a function associated with my model. The trouble is, if I break it down into some for loops, then I start having to invent temporary names for my variables, which seems clunky.

Any opinions?

M