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Posted to issues@systemml.apache.org by "Manoj Kumar (JIRA)" <ji...@apache.org> on 2016/06/03 19:04:59 UTC
[jira] [Created] (SYSTEMML-751) Support functions as arguments
Manoj Kumar created SYSTEMML-751:
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Summary: Support functions as arguments
Key: SYSTEMML-751
URL: https://issues.apache.org/jira/browse/SYSTEMML-751
Project: SystemML
Issue Type: Wish
Reporter: Manoj Kumar
Hi,
How difficult is it to support functions as arguments? (If not done already)
One real use-case would be to just implement a modular lbfgs, newton-cg etc as in (http://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.fmin.html#scipy.optimize.fmin)
I believe this lessens burden on code maintenance and brings in new users, because every time I implement a new algorithm, I just need to check that my function (and gradient) implementation is correct.
I ultimately would like to do this.
source("lbfgs.dml") as lbfgs
f = loss_function() {
}
w = lbfgs::optimize()
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