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From "Matthias Boehm" <>
Subject Re: Logical indexing?
Date Thu, 31 Mar 2016 17:14:25 GMT

that's a good question - no SystemML does not support set indexing yet but
you can emulate it via permutation matrices or similar transformations.
Here are some examples:

# option 1: via permutation (aka selection) matrices
P = removeEmpty(target=diag(X[,1]>10), margin="rows");
Y = P %*% X;

# option 2: via removeEmpty
Ind = diag(X[,1]>10);
Y = removeEmpty(target=X, select=Ind);


From:	Ethan Xu <>
Date:	03/31/2016 08:47 AM
Subject:	Logical indexing?

Does SystemML support logical indexing?

For example if X is a numerical matrix with 2 columns and n rows (in my
case n ~ 35 million). I'd like to split the matrix row-wise according to
values of the first column. This is useful when I need to find
distributions of subgroups of population.  In R I can do

Y = X[ X[ ,1] > 10, ]


ind = which(X[ ,1] > 10)
Y = X[ind, ]

It seems neither syntex works in SystemML.

I noticed there's an aggregate() function for SystemML, but it supports
coded categorical variable.

Perhaps one way to do that is creating an indicator n by 1 matrix Z that
takes values 1 and 2 where 1 corresponds to X[, 1] <= 10 and 2 corresponds
to X[,1] > 10. Then aggregate() X[,2] with respect to Z.

It seems transform() with 'bin' option is one obvious way to create such a
Z, however the 'bin' method only supports 'equi-width' currently.

Is looping through X[,1] the best option? Maybe I missed some other
convenient functions.

Any suggestions are greatly appreciated!



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