Comments (3)
Thank you for pointing this out. PR #45 changed the behavior of cv.biglasso()
; I didn't think about the fact that it was going to affect these tests. Neither way of doing CV is wrong, but they don't agree. We need to either change the default back to the old way, or change the tests. I'll work on fixing this.
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Oh for sure they should be automated -- my other packages have these tests automated in Travis, but biglasso has always been maintained by my graduate students. However, those students have now graduated so we're in a bit of a transition period as I will likely take on a more active maintainer role.
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Glad to hear nothing is broken :) Do you think there's a way to automate these tests in Travis CI?
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Related Issues (20)
- Automatically detect and cast variables to expected type(s) HOT 4
- standardize = FALSE ?
- predict.cv.biglasso - address 0x2b2da5f69ae0, cause 'memory not mapped' HOT 2
- Dealing with Extremely large datasets (750 GB) HOT 6
- Bug in cv.biglasso() triggered by edge case HOT 1
- Split available cores in cv.biglasso() HOT 1
- Rigorous LASSO and causal inference HOT 1
- Disabling intercept HOT 1
- Warning: stack imbalance
- Error R_Reprotect: only x protected items, can't reprotect index y HOT 3
- row.idx doesn't work ?
- Default CV error contradictory documentation HOT 1
- Installation error on CRAN HOT 3
- Removed from CRAN HOT 1
- Update benchmarks
- .
- data storage mode affects model fit -- why??
- are NCV penalties working correctly? HOT 2
- bug in setupX? HOT 1
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