Unfortunately the documentation is not really great yet, but
https://github.com/rened/FunctionalData.jl#computing-map-and-friends-details
is a collection of functions that could be used for this, with optional
in-place operations and parallel processing. It is basically a generalization
of
Hi,
Suppose I have a function that maps an atom of type T, eg Float64, into
Vector{T}, and takes another argument n that determines its length.
What is the idiomatic/fast way of collecting the values in the columns
of a matrix?
Currently I am using this:
@doc Map elements of `x` into columns
Try the cat, hcat, vcat family of functions.
--Tim
On Saturday, April 04, 2015 05:04:21 PM Tamas Papp wrote:
Hi,
Suppose I have a function that maps an atom of type T, eg Float64, into
Vector{T}, and takes another argument n that determines its length.
What is the idiomatic/fast way of
