I like the general idea of having iterators; was just checking out the
itertools package after not having looked at it for a while. I could see
having a BiocIterators package, and a bpiterate(iterator, FUN, ...,
BPPARAM). My suggestion was simpler though. Right now, bpmapply runs a
single job per iteration, which is fine; the flattening could just be made
more convenient.


On Thu, Nov 14, 2013 at 8:47 AM, Michel Lang <michell...@gmail.com> wrote:

> We use a design iterator in BatchExperiments::makeDesign for a cartesian
> product. I found a old version of designIterator (cf. <
> https://github.com/tudo-r/BatchExperiments/blob/master/R/designs.R>) w/o
> the optional data.frame input which is easier to read: <
> https://gist.github.com/mllg/7469844>.
>
> AFAIR the speed was decent. Major advantage is the low memory footprint.
> Could easily be ported to a reference class and should run on arbitrary
> objects with small modifications.
>
> In parallel it might get tricky though. You could try to sequentially
> request [n] elements of the iterator, chunk them to match [desired number
> of jobs] and then parallelize. Or write a function which converts a single
> integer to the respective integer vector "state" in above referenced gist
> which is in my opinion much more flexible.
>
>
>
> 2013/11/14 Michael Lawrence <lawrence.mich...@gene.com>
>
> > Hi guys,
> >
> > We often need to iterate over the cartesian product of two dimensions,
> > like sample X chromosome. This is preferable to nested iteration, which
> is
> > complicated. I've been using expand.grid and bpmapply for this, but it
> > seems like this could be made easier. Like bpmapply could gain a
> CARTESIAN
> > argument with a list of arguments to multiply? But somehow you would want
> > the resuls combined in a way that does not require generating the product
> > manually. Maybe a list of lists? We need to think more about the
> > combination step, in general.
> >
> > Michael
> >
>
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