Oleg Sofrygin

This relates to currently enforced check: https://github.com/jeremyrcoyle/sl3/blob/master/tests/testthat/test_all_learners.R#L20 Can we switch that to `test_that("Learner can generate training set predictions",expect_equal(nrow(train_preds),nrow(task$X)))` for all "standard" learners? I.e., those that actually generate a) a single...

Either way is fine with me. It seems like going for one prediction data type is always a safer and easier to maintain solution (I suggest that prediction always returns...

Candidates: `%>

Hi Bradley, Thanks for filing this, but I can't replicate your issue. Is it possible that you don't have the latest version of data.table installed? Another possibility is that you...

Thanks for pointing this out, this is very interesting. This code should have given an error in the previous versions of the package as well. It was working, but it...

Certainly, everything should work fine without monitoring variable. Just never use any propensity scores for monitoring and don't define the monitoring variable name when loading the data (i.e., leave it...

Sure, happy to help, would you mind copy pastying the entire log, including all errors? Also, why are you testing the example with categorical censoring, any specific reason for that?

Thanks for reporting, Indeed this seems like a bug. My suggestion would be to take the code defineIntervention function and rewrite it to your own dynamic rule needs. Here is...

Nothing to do with the hazard. The outcome model is the **fit of the expectation E[Y|\bar{L},\bar{A}]** (over many time-points). If the observed \bar{A} is not consistent with following the rule...

Have you tried non-h20 glm? It appears that the glm call is resulting in the error, which is what being captured by "try-error". Most likely explanation is due to 0...