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Robustness Tests

Open cicdw opened this issue 8 years ago • 1 comments

We should have a testing framework / experimentation engine to test the algorithms for robustness to various types of input data (normalized / not-normalized / bad condition numbers / partial separability / low class sizes, etc.) -- eventually we might even want some sort of switching method that, for example, might detect bad conditioning in Newton's method and switch to gradient descent. This will require first writing a way to generate such data.

@mcg1969 @jcrist

cicdw avatar Jan 26 '17 16:01 cicdw

Once I get a bunch of delegatable tasks built out for my larger project I'm going to take a stab at this. Hoping to do so Wednesday or Thursday.

mcg1969 avatar Jan 31 '17 13:01 mcg1969