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I think it would be nice to add something along the lines of the following:
``` julia
l1 = LogitMarginLoss()
l2 = HingeLoss()
l3 = PoissonLoss()
l4 = L2DistLoss()
domain(l1) # returns -1:2:1
domai…
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Hi,
I have tried zinbwave on one 10x HEK293t cell line dataset. zinbwave is run without specifying cell or gene level covariates. Then I calculated the correlation between the zinbwave normalized val…
zji90 updated
5 years ago
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We should probably confirm that all our imputation methods work on AxisArrays as well
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Hello,
I am relatively new to R and statistics so please excuse me if the question is primitive:
I have a data set:
head(subset_missed)
screened reason_not_join age gender ethnic…
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Not sure whether to ask here, but here goes. I read a series of papers by Lynne Steuerle Schofield, who argues for a modeling approach (Mixed Effects Structural Equations (MESE)) that takes into accou…
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in {mice} there is no S3 to add a user defined imputation method, only built in methods.
I created a global function and assigned it to the {mice} namespace, which is then picked up by the wrapper…
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I try to optimize the run the following optimization
```
lrn_test = makeFilterWrapper(learner = "regr.xgboost")
param_test = makeParamSet(
makeDiscreteParam("fw.perc", values = 0.6, tunable = …
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Hi!
I understand that scanorama should be used in the very last steps of scRNAseq data analysis. However, Yuval Kluger, a Prof. of Applied Mathematics in Yale, suggested me to run imputation after …
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As illustrated in https://github.com/scikit-learn/scikit-learn/pull/14230 tests can contain unreachable code which then produces false positives.
Looking at codecov results for test files is probab…
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#### Description
Would there be interest in implementing a random forest based imputer in the vein of [missForest](https://cran.r-project.org/web/packages/missForest/missForest.pdf)? Someth…