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train(x,y,"enet") : Error in { : task 1 failed - "arguments imply differing number of rows: 3, 2"
> train(x,y,"enet") Elasticnet 10 samples 20 predictors No pre-processing Resampling: Bootstrapped (25 reps) Summary of sample sizes: 10, 10, 10, 10, 10, 10, ... Resampling results across tuning parameters: lambda fraction RMSE Rsquared RMSE SD Rsquared SD 0e+00 0.050 11.32400 0.5323731 2.905445 0.3342669 0e+00 0.525 14.07560 0.4908514 9.498497 0.3949161 0e+00 1.000 18.24437 0.4932672 17.952378 0.3984887 1e-04 0.050 10.87032 0.5353168 3.184460 0.3353606 1e-04 0.525 12.77484 0.5228639 3.553482 0.4052917 1e-04 1.000 10.69082 0.4953061 3.188610 0.3891203 1e-01 0.050 10.87552 0.5546255 3.169491 0.3347897 1e-01 0.525 12.38126 0.5304466 3.311811 0.3955273 1e-01 1.000 10.81320 0.4682376 3.310867 0.3821226 RMSE was used to select the optimal model using the smallest value. The final values used for the model were fraction = 1 and lambda = 1e-04. > train(x,y,"enet") Error in { : task 1 failed - "arguments imply differing number of rows: 3, 2"
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train(x,y,"enet") :
Error in { : task 1 failed - "arguments imply differing number of rows: 3, 2"
The text was updated successfully, but these errors were encountered: