R version 4.4.0 RC (2024-04-16 r86444 ucrt) -- "Puppy Cup"
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Platform: x86_64-w64-mingw32/x64

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> # 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)
> 
> if (identical(Sys.getenv("NOT_CRAN"), "true"))
+   library(neuralGAM)
>   test_check("neuralGAM")
Loading required package: neuralGAM
[1] "Initializing neuralGAM..."

1/1 [==============================] - ETA: 0s - loss: 0.7999
1/1 [==============================] - 1s 672ms/step - loss: 0.7999

1/1 [==============================] - ETA: 0s
1/1 [==============================] - 0s 156ms/step
[1] "BACKFITTING Iteration 1 - Current Err =  2.31119259634424 BF Threshold =  0.001 Converged =  FALSE"

1/1 [==============================] - ETA: 0s - loss: 0.7742
1/1 [==============================] - 1s 547ms/step - loss: 0.7742

1/1 [==============================] - ETA: 0s
1/1 [==============================] - 0s 31ms/step
[1] "BACKFITTING Iteration 2 - Current Err =  0.000274384766280251 BF Threshold =  0.001 Converged =  TRUE"
[1] "Initializing neuralGAM..."

1/1 [==============================] - ETA: 0s - loss: 0.6287
1/1 [==============================] - 1s 719ms/step - loss: 0.6287

1/1 [==============================] - ETA: 0s
1/1 [==============================] - 0s 63ms/step
[1] "BACKFITTING Iteration 1 - Current Err =  1.11859167761994 BF Threshold =  0.001 Converged =  FALSE"
[1] "Initializing neuralGAM..."
[1] "ITER LOCAL SCORING 1"

1/1 [==============================] - ETA: 0s - loss: 0.2313
1/1 [==============================] - 1s 578ms/step - loss: 0.2313

1/1 [==============================] - ETA: 0s
1/1 [==============================] - 0s 63ms/step
[1] "BACKFITTING Iteration 1 - Current Err =  0.775031462809523 BF Threshold =  0.001 Converged =  FALSE"
WARNING:tensorflow:5 out of the last 5 calls to <function Model.make_train_function.<locals>.train_function at 0x000001E3F17BB820> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.

1/1 [==============================] - ETA: 0s - loss: 0.2300
1/1 [==============================] - 1s 578ms/step - loss: 0.2300

1/1 [==============================] - ETA: 0s
1/1 [==============================] - 0s 47ms/step
[1] "BACKFITTING Iteration 2 - Current Err =  0.000105384869787241 BF Threshold =  0.001 Converged =  TRUE"
[1] "Current delta  0.0410439924431031  LS Threshold =  0.1 Converged =  TRUE"
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 84 ]
> 
> proc.time()
   user  system elapsed 
   9.59    1.56   22.42