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rprops / Phenoflow_package

R package offering functionality for the advanced analysis of microbial flow cytometry data
GNU General Public License v2.0
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Implement Random forrest in R #31

Closed FMKerckhof closed 6 years ago

FMKerckhof commented 7 years ago

This should be fairly straightforward by translating prubbens python code (https://github.com/prubbens/InSilicoFlow/blob/master/insilico.py) to R with: https://cran.r-project.org/web/packages/randomForest/index.html and https://cran.r-project.org/web/packages/party/index.html

prubbens commented 7 years ago

Might not be a bad idea to look at the state-of-the art. See for example: https://arxiv.org/abs/1508.04409. (I am not so familiar with R, but I know that the machine learning modules are much more scattered than in for example Python).

rprops commented 7 years ago

Most ML methods are available in the comprehensive caret package: http://topepo.github.io/caret/available-models.html

prubbens commented 7 years ago

Didn't know that (still an R-beginner), looks good.

prubbens commented 6 years ago

This package seems quite promising: https://github.com/mlr-org/mlr

rprops commented 6 years ago

Implemented caret Random Forest implementation. Will evaluate in the near future if we shift to mlr.