> I've never used AverageDeviation. If I recall, I read about it on the twiki
> and it's kind of random, could be useful but not really a standard stat, so
> if it's super broken then I think it's ok to nuke it.
> I like the Distribution stats, I've been using them a fair amount in my
> tree, which is why I fixed up VectorDistribution to work correctly.  But the
> bin thing you describe great - one thing that is annoying about
> Distributions is that you have to run it in order to figure out how to set
> your bins, especially if you have no intuition about how things will be
> distributed. Would it be possible to be able to have both?  I know with
> matplotlib, when I plot a histogram it's often sufficient to let it
> auto-generate my bins, and even if i want more granularity, i just make more
> bins...but sometimes I want to compare two things, and the auto-generated
> bins between the two things are different. In this case, I appreciate the
> ability to manually set bins to do a bin-to-bin comparison.  That would be
> useful in this case as well...particularly if these values were to be pulled
> out to be plotted between runs, it would certainly make for an easier
> comparison if the bins are the same.  But then, that again requires prior
> knowledge of rough bin distribution, which is what your auto-binning is
> trying to get away from.  So...I'd say both models are useful.  It would be
> great if both could be supported, just depending on how the stat is inited.

I'll keep both then.

  Nate
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