Project/release 1.0 281 optimize#450
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mitzimorris merged 6 commits intodevelopfrom Sep 7, 2021
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@@ Coverage Diff @@
## develop #450 +/- ##
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- Coverage 76.96% 76.36% -0.60%
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Files 27 27
Lines 8664 8979 +315
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+ Hits 6668 6857 +189
- Misses 1996 2122 +126
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Don't think I can review this until Tuesday, but it will be the first thing I do then! Right off the bat, I think |
ahartikainen
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Sep 4, 2021
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Submission Checklist
Summary
Addresses issue #281 - the call to the
optimizemethod now has argumentsave_iterations, default isFalse. When set toTrue, will set CmdStan command line argsave_iterations=1, which causes the optimizer to write intermediate iterations to the Stan CSV output file.The intermediate iterations are available either as a numpy.ndarray object over all data columns in the Stan CSV file, or as a pandas.DataFrame. The
stan_variablemethods don't expose the intermediate iterations. The reasoning here is that intermediate iterations are only of interest when trying to debug a model during development, or to debug an algorithm - it's not a very common use and doesn't really warrent adding more logic tostan_variable. That said, it wouldn't be that hard to extend this functionality tostan_variable- can be added now or later.Also brings CmdStanPy into line with CmdStanR w/r/t allowing user to retrieve estimates even is optimizer fails to converge - stan-dev/cmdstanr#314 by adding argument
require_converged- whenFalse, use can retrieve MLE estimates (same as behavoir for methodvariational). If the optimizer fails to converge, the resulting CmdStanMLE object will return a warning when the user accesses the estimates.Changes to the code base:
save_iterationstoOptimizeArgsCmdStanMLE- logic to capture whether or not optimizer converged, and new methods to return all iterations.Copyright and Licensing
Please list the copyright holder for the work you are submitting (this will be you or your assignee, such as a university or company): Columbia University
By submitting this pull request, the copyright holder is agreeing to license the submitted work under the following licenses: