On Fri, Nov 12, 2010 at 9:15 AM, Albert Cardona <sapri...@gmail.com> wrote:
> Hi Eric,
>
> Your neural network DSL looks great. One minor comment: why use lists
> instead of sets? In the webpage you state:
>
> "Lists are used to represent a unordered series"
>
> ... but lists are generally considered data structures whose elements
> are accessible by index. The closest representation to an unordered
> series is a set.
>
> Just my two cents.

Which data structure to use depends on a lot of your requirements, not
just the conceptual nature of the data. Here's a rough breakdown:

Lists: efficient traversal, efficient add/drop at start, can contain duplicates
Vecs: efficient traversal, efficient add/drop at end, efficient
indexed access, efficient "mutate" in middle, can contain duplicates
Sets: efficient contains?, efficient add/drop any element, efficient
avoiding of duplicates

In this case, if his "sets" are traversed frequently but contains? and
dropping of arbitrary members are not needed, nor efficient prevention
of duplicates, then lists might make more sense. If he actually needs
to have duplicates then sets are right out.

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