caret-machine-learning

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excessive memory use of rFerns in parallel use

2

method rFerns 0.9353 0.9021 58.45 Random Ferns in caret uses 2 Gbyte per parallel client, so 32 clients require at least 64 GByte RAM. Method works and converges, just memory...

tobigithub

learning-curve-plots-caret-parallel.R breaks in method = "parRF",

2

Probably dependent on older or newer library. Fresh install of **all** caret dependencies gives errors below. Older packages would just work fine. Method worked fine on other independent install. [LINK...

tobigithub

training results are random with same seed set in caret

1

A number of methods in caret_6.0-58 give slightly different results. Setting the seed should result in the same RMSE and R2 (80 methods in caret do that). Exceptions are: treebag...

tobigithub

method qrf train results are slightly random in caret with seed set

1

Method qrf in caret gives slightly random results (noise) with the same seed set. Expected would be exactly the same result for multiple runs. ``` R # load caret and...

tobigithub

method elm in caret gives random results with the same seed set

1

method elm in caret gives random results with the same seed set, most other methods give the same result (as expected). elmNN_1.0 and caret_6.0-58 ``` R # load caret and...

tobigithub

gamLoess crashes R GUI in parallel mode

1

gam_1.12 under caret_6.0-58 crashes R-GUI (hard error) under Windows ``` R # load caret and DT the cars data set require(caret); require(DT); require(mlbench); library(AppliedPredictiveModeling) data(solubility) # load the data and...

tobigithub

GFS.THRIFT from frbs_3.1-0 under caret will use excessive memory (10 Gbyte per rscript.exe) for a small example (10x10 matrix with 3 kByte) in parallel mode (cores>4). The example will either...

tobigithub

train(x,y,"enet") : Error in { : task 1 failed - "arguments imply differing number of rows: 3, 2" ``` R > train(x,y,"enet") Elasticnet 10 samples 20 predictors No pre-processing Resampling:...

tobigithub

Method "lasso" in caret fails from time to time with ``` R Error in { : task 1 failed - "arguments imply differing number of rows: 3, 2" ``` example...

tobigithub

method rknnBel crashes R-GUI when used in caret. Could be an issue with low sample numbers (here only 6). Probably requires better unit testing. ``` R require(caret); require(rknnBel); # define...

tobigithub