Element types are dependent on the implementation. Some implementations support arbitrary (Object) data types - this includes the default implementation that supports Clojure persistent vectors, e.g. [1 nil :foo] is a valid vector. Mathematical operations on such vectors use standard functions e.g. clojure.core/+, so they will work on any numeric types (including rationals).
Other implementations are specialised to specific types, e.g. vectorz-clj supports primitive double types only. This means more performance at the expense of data type flexibility. Also worth noting that Dmitry Groshev is working on a general purpose NDArray implementation for the 2013 Google Summer of Code project, which should support a wider variety of types. On Wednesday, 10 July 2013 22:06:31 UTC+1, Brian Craft wrote: > > How are data types handled in core.matrix? I was surprised to see it > returning rationals rather than floats. I don't see a way to control this > in the api, e.g. like dtype in numpy. > > (element-type) is returning java.lang.Object for all inputs. Does this > mean I'm creating arrays of clojure's wrapped numerical types? Is this > because I haven't specified a non-default implementation? > -- -- You received this message because you are subscribed to the Google Groups "Clojure" group. To post to this group, send email to [email protected] Note that posts from new members are moderated - please be patient with your first post. To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/clojure?hl=en --- You received this message because you are subscribed to the Google Groups "Clojure" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/groups/opt_out.
