Tall Matrix Index Extraction
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To All:
I have a varying size model of the dimensions (L x nx)
L = number of data points
nx = number of variables per data point
In the algorithm that I am using, it moves the data around to support a search of the data space.
A small example could be this:
x = [1,2;3,4;5,6];
id =[1,6;2,4;1,5];
xnew = x(id);
disp(xnew); %[1,6;3,2;1,4];
Now while this isn't too difficult, my state "x" is in reality a tall matrix.
xtall = tall(x);
xnewtall = x(id); % crashes!
Does anyone know how to do this without having to do every individual point independently?
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SaiDileep Kola
le 13 Jan 2021
Since tall matrices are challenging in terms of memory, how about parsing arrays "xtall" and "id" and using with appropriate offsets, up on that par-for would run efficiently, this could be a bit better thatn individual point independently.
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