Running ‘testthat.R’ [36m/90m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > # This file is part of the standard setup for testthat.
  > # It is recommended that you do not modify it.
  > #
  > # Where should you do additional test configuration?
  > # Learn more about the roles of various files in:
  > # * https://r-pkgs.org/tests.html
  > # * https://testthat.r-lib.org/reference/test_package.html#special-files
  > 
  > library(testthat)
  > library(proteus)
  > 
  > test_check("proteus")
  
  block 1 
  581 sequence for training
  561 sequence for testing
  epoch:  3    Train loss:  0.3155343    Test loss:  0.3273139 
  epoch:  6    Train loss:  0.3249268    Test loss:  0.3296802 
  epoch:  9    Train loss:  0.3270825    Test loss:  0.3330758 
  epoch:  12    Train loss:  0.3275744    Test loss:  0.3279538 
  epoch:  15    Train loss:  0.3294025    Test loss:  0.3303694 
  epoch:  18    Train loss:  0.3197001    Test loss:  0.3285398 
  epoch:  21    Train loss:  0.3295622    Test loss:  0.3234937 
  early stop at epoch:  23    Train loss:  0.3616711    Test loss:  0.3289381 
  
  block 2 
  1142 sequence for training
  561 sequence for testing
  epoch:  3    Train loss:  0.335314    Test loss:  0.3328599 
  epoch:  6    Train loss:  0.3273172    Test loss:  0.3335104 
  epoch:  9    Train loss:  0.3289269    Test loss:  0.3270852 
  epoch:  12    Train loss:  0.3415635    Test loss:  0.3349884 
  early stop at epoch:  12    Train loss:  0.4641147    Test loss:  0.3343989 
  
  final training on all 3 
  1703 sequence for training
  epoch:  3    Train loss:  0.3341897 
  epoch:  6    Train loss:  0.3344023 
  epoch:  9    Train loss:  0.327718 
  epoch:  12    Train loss:  0.3308248 
  epoch:  15    Train loss:  0.332109 
  epoch:  18    Train loss:  0.3288006 
  epoch:  21    Train loss:  0.329397 
  epoch:  24    Train loss:  0.3310126 
  epoch:  27    Train loss:  0.3331795 
  epoch:  30    Train loss:  0.3361463 
  
  variational model based on normal latent distribution with 144 tensors and 8190 parameters
  proteus: 3113.183 sec elapsed
  date and value gaps filled with kalman imputation
  
  block 1 
  801 sequence for training
  801 sequence for testing
  epoch:  3    Train loss:  0.3222536    Test loss:  0.3279374 
  epoch:  6    Train loss:  0.3249767    Test loss:  0.3263984 
  epoch:  9    Train loss:  0.3227536    Test loss:  0.3253718 
  epoch:  12    Train loss:  0.3231193    Test loss:  0.3276188 
  epoch:  15    Train loss:  0.3222407    Test loss:  0.3248769 
  epoch:  18    Train loss:  0.3246608    Test loss:  0.329062 
  epoch:  21    Train loss:  0.323963    Test loss:  0.3269404 
  epoch:  24    Train loss:  0.3244791    Test loss:  0.327732 
  epoch:  27    Train loss:  0.3215661    Test loss:  0.3278306 
  epoch:  30    Train loss:  0.3260197    Test loss:  0.3256681 
  
  block 2 
  1602 sequence for training
  801 sequence for testing
  epoch:  3    Train loss:  0.3286132    Test loss:  0.3310416 
  epoch:  6    Train loss:  0.3273862    Test loss:  0.33203 
  epoch:  9    Train loss:  0.3300706    Test loss:  0.3325945 
  epoch:  12    Train loss:  0.3294034    Test loss:  0.3305967 
  early stop at epoch:  14    Train loss:  0.3333334    Test loss:  0.3323325 
  
  final training on all 3 
  2403 sequence for training
  epoch:  3    Train loss:  0.3306832 
  epoch:  6    Train loss:  0.3286034 
  epoch:  9    Train loss:  0.3302916 
  epoch:  12    Train loss:  0.3308355 
  epoch:  15    Train loss:  0.3316461 
  epoch:  18    Train loss:  0.3305568 
  epoch:  21    Train loss:  0.3296519 
  epoch:  24    Train loss:  0.3288555 
  epoch:  27    Train loss:  0.3285875 
  epoch:  30    Train loss:  0.3292778 
  
  Execution halted