benkeser slapnap issues

benkeser / slapnap

Super LeArner Predictions using NAb Panels

https://benkeser.github.io/slapnap/

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issues

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Update to R4

#44 bdwilliamson closed 1 week ago
0
Reordering code for non-sudo runs and preparation for singularity.

#43 Rudolph-afk opened 1 month ago
0
Enhancements

#42 bdwilliamson closed 3 years ago
0
Update vimp to 2.2.3

#41 bdwilliamson closed 3 years ago
0
Build Docker image upon GitHub version tag

#40 bdwilliamson opened 3 years ago
7
Data column name issues

#39 benkeser closed 3 years ago
13
Add H2O to report and book

#38 bdwilliamson closed 3 years ago
0
Update report, docs with h2oboost and tag release

#37 bdwilliamson closed 3 years ago
0
Finalize H2O updates

#36 bdwilliamson closed 3 years ago
0
Finalize predict.SL.h2oboost

#35 bdwilliamson closed 3 years ago
0
H2O updates

#34 bdwilliamson closed 3 years ago
0
Added h2oboost as a learner option

#33 caggle360 closed 3 years ago
1
Allow intrinsic individual importance to be measured sitewise (and residuewise)

#32 bdwilliamson closed 3 years ago
0
Update docs and fix typo in Table 1.2 (continuous outcome prediction performance)

#31 bdwilliamson closed 3 years ago
0
Bugfixes

#30 bdwilliamson closed 3 years ago
0
Allow binary outcomes to be computed based on IC-50 or IC-80, bugfixes

#29 bdwilliamson closed 3 years ago
0
Add Bliss-Hill and fix biological importance warning message

#28 bdwilliamson closed 3 years ago
0
Addressing some reviewer comments

#27 bdwilliamson closed 4 years ago
0
Performance enhancements and bugfixes

#26 bdwilliamson closed 4 years ago
0
Updates to docs, returning objects

#25 bdwilliamson closed 4 years ago
0
Update docs with timezone, log-transformed continuous outcomes

#24 bdwilliamson closed 4 years ago
0
Fix several typos in docs, add biological import p-value computation, handle missing data for vimp

#23 bdwilliamson closed 4 years ago
0
Change outputted model format, harmonize report and metadata

#22 bdwilliamson closed 4 years ago
0
More robust missing data handling with variable importance, harmonize metadata with report (for missing data)

#21 bdwilliamson closed 4 years ago
0
Add variable importance sections to docs

#20 bdwilliamson closed 4 years ago
0
Create metadata and revisions to main report

#19 bdwilliamson closed 4 years ago
0
Cleaning up the report

#18 bdwilliamson closed 4 years ago
0
Various performance enhancements

#17 bdwilliamson closed 4 years ago
0
Errors when number of elements in class is <= number of folds (dichotomous outcome)

#16 bdwilliamson closed 4 years ago
2
Updates towards finalizing report and controlling saved output

#15 bdwilliamson closed 4 years ago
0
Multiple learners with cvtune=F and cvperf=F fails when prediction performance is requested

#14 bdwilliamson closed 4 years ago
1
options for controlling what is saved

#13 benkeser closed 4 years ago
1
Remaining things to do

#12 benkeser closed 4 years ago
3
Multiple learners with cvtune = FALSE and cvperf = FALSE

#11 bdwilliamson closed 4 years ago
3
Only printing descriptive statistics if cvtune = FALSE and cvperf = FALSE

#10 bdwilliamson closed 4 years ago
7
Unit tests and bugfixes

#9 bdwilliamson closed 4 years ago
0
Clean up report and report_preamble

#8 bdwilliamson closed 4 years ago
0
`source` variable importance functions

#7 benkeser closed 4 years ago
6
Add population vimp to report

#6 bdwilliamson closed 4 years ago
0
update throughout report_preamble with new options, add pop vimp to executive summary

#5 bdwilliamson closed 4 years ago
2
Update run_super_learners, super_learner_libraries, get_vimp with new global options

#4 bdwilliamson closed 4 years ago
0
Creating new section for population vimp

#3 bdwilliamson closed 4 years ago
0
Add group variable importance to executive summary

#2 bdwilliamson closed 5 years ago
0
Run SL on reduced feature sets

#1 bdwilliamson closed 5 years ago
2