using Distance
euclidean ([1:10;1:10], [1:10])
ERROR: DimensionMismatch("The lengths of a and b must match.")
in get_common_len at /home/nbecker/.julia/v0.4/Distance/src/common.jl:11
in sumsqdiff at /home/nbecker/.julia/v0.4/Distance/src/metrics.jl:40
in euclidean at /home/nbecker/.julia/v0.4/Distance/src/metrics.jl:83
How would I force broadcasting here, in a space and time efficient manner?
I believe numpy would use newaxis for this.
--
-- Those who don't understand recursion are doomed to repeat it
