R Under development (unstable) (2025-10-07 r88904 ucrt) -- "Unsuffered Consequences"
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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

---
python:         C:/Users/CRAN/AppData/Local/r-miniconda/envs/neuralGAM-env/python.exe
libpython:      C:/Users/CRAN/AppData/Local/r-miniconda/envs/neuralGAM-env/python39.dll
pythonhome:     C:/Users/CRAN/AppData/Local/r-miniconda/envs/neuralGAM-env
version:        3.9.0 | packaged by conda-forge | (default, Nov 26 2020, 07:53:15) [MSC v.1916 64 bit (AMD64)]
Architecture:   64bit
numpy:          C:/Users/CRAN/AppData/Local/r-miniconda/envs/neuralGAM-env/Lib/site-packages/numpy
numpy_version:  1.25.1
tensorflow:     C:\Users\CRAN\AppData\Local\R-MINI~1\envs\NEURAL~1\lib\site-packages\tensorflow

NOTE: Python version was forced by RETICULATE_PYTHON

---
[1] "Initializing neuralGAM..."
[1] "Initializing neuralGAM..."
[1] "Initializing neuralGAM..."
[1] "Initializing neuralGAM..."
[1] "Initializing neuralGAM..."
[1] "Initializing neuralGAM..."

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[1] "BACKFITTING Iteration 1 - Current Err =  2.31119259634424 BF Threshold =  0.001 Converged =  FALSE"

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[1] "BACKFITTING Iteration 2 - Current Err =  0.000274384766280251 BF Threshold =  0.001 Converged =  TRUE"
[1] "Initializing neuralGAM..."

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[1] "BACKFITTING Iteration 1 - Current Err =  1.11859167761994 BF Threshold =  0.001 Converged =  FALSE"
[1] "Initializing neuralGAM..."

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[1] "BACKFITTING Iteration 1 - Current Err =  0.0037872767415794 BF Threshold =  0.001 Converged =  FALSE"
[1] "Initializing neuralGAM..."
[1] "ITER LOCAL SCORING 1"

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[1] "BACKFITTING Iteration 1 - Current Err =  0.775032022763433 BF Threshold =  0.001 Converged =  FALSE"

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[1] "BACKFITTING Iteration 2 - Current Err =  0.000105174069235058 BF Threshold =  0.001 Converged =  TRUE"
[1] "Current delta  0.0411534719907707  LS Threshold =  0.1 Converged =  TRUE"
[1] "Initializing neuralGAM..."
[1] "ITER LOCAL SCORING 1"
WARNING:tensorflow:5 out of the last 7 calls to <function Model.make_train_function.<locals>.train_function at 0x0000022AC0EF69D0> 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: 0.7742
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WARNING:tensorflow:5 out of the last 11 calls to <function Model.make_predict_function.<locals>.predict_function at 0x0000022AC0F5B820> 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
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[1] "BACKFITTING Iteration 1 - Current Err =  1.01078177704168 BF Threshold =  0.001 Converged =  FALSE"
[1] "Initializing neuralGAM..."
WARNING:tensorflow:6 out of the last 8 calls to <function Model.make_train_function.<locals>.train_function at 0x0000022ABC9CCF70> 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: 1.2205
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WARNING:tensorflow:6 out of the last 13 calls to <function Model.make_predict_function.<locals>.predict_function at 0x0000022ABF95F1F0> 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
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[1] "BACKFITTING Iteration 1 - Current Err =  2.31119261921843 BF Threshold =  0.001 Converged =  FALSE"

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[1] "BACKFITTING Iteration 2 - Current Err =  0.000271770362189267 BF Threshold =  0.001 Converged =  TRUE"
[1] "Computing CI/PI using uncertainty_method =  epistemic  at alpha =  0.05"
[1] "Initializing neuralGAM..."
[1] "ITER LOCAL SCORING 1"

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[1] "BACKFITTING Iteration 1 - Current Err =  0.775032030434032 BF Threshold =  0.001 Converged =  FALSE"

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[1] "BACKFITTING Iteration 2 - Current Err =  0.000104309105133171 BF Threshold =  0.001 Converged =  TRUE"
[1] "Current delta  0.041161637946132  LS Threshold =  0.1 Converged =  TRUE"
[1] "Computing CI/PI using uncertainty_method =  epistemic  at alpha =  0.05"
[1] "Initializing neuralGAM..."
[1] "ITER LOCAL SCORING 1"

1/1 [==============================] - ETA: 0s - loss: 0.8973
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[1] "BACKFITTING Iteration 1 - Current Err =  1.01078178704552 BF Threshold =  0.001 Converged =  FALSE"
[1] "Computing CI/PI using uncertainty_method =  epistemic  at alpha =  0.05"
[1] "Initializing neuralGAM..."

1/1 [==============================] - ETA: 0s - loss: 0.8633
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[1] "BACKFITTING Iteration 1 - Current Err =  0.00259683330758074 BF Threshold =  0.001 Converged =  FALSE"
[1] "Computing CI/PI using uncertainty_method =  epistemic  at alpha =  0.05"
[1] "Initializing neuralGAM..."

1/1 [==============================] - ETA: 0s - loss: 9.8099
1/1 [==============================] - 1s 703ms/step - loss: 9.8099 - val_loss: 27.5083

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[1] "BACKFITTING Iteration 1 - Current Err =  119.322822199361 BF Threshold =  0.001 Converged =  FALSE"
[1] "Initializing neuralGAM..."

1/1 [==============================] - ETA: 0s - loss: 13.3986
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[1] "BACKFITTING Iteration 1 - Current Err =  119.322822199361 BF Threshold =  0.001 Converged =  FALSE"
[1] "Initializing neuralGAM..."

1/1 [==============================] - ETA: 0s - loss: 11.8664
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[1] "BACKFITTING Iteration 1 - Current Err =  119.322822199361 BF Threshold =  0.001 Converged =  FALSE"
[1] "Computing CI/PI using uncertainty_method =  epistemic  at alpha =  0.05"
[1] "Initializing neuralGAM..."

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[1] "BACKFITTING Iteration 1 - Current Err =  119.3228208845 BF Threshold =  0.001 Converged =  FALSE"
[1] "Computing CI/PI using uncertainty_method =  epistemic  at alpha =  0.05"
[1] "Initializing neuralGAM..."

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[1] "BACKFITTING Iteration 1 - Current Err =  717.466831266385 BF Threshold =  0.001 Converged =  FALSE"
[1] "Initializing neuralGAM..."

1/1 [==============================] - ETA: 0s - loss: 13.3987
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[1] "BACKFITTING Iteration 1 - Current Err =  119.322822199361 BF Threshold =  0.001 Converged =  FALSE"
[1] "Initializing neuralGAM..."

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[1] "BACKFITTING Iteration 1 - Current Err =  0.569814615329674 BF Threshold =  0.001 Converged =  FALSE"
[1] "Initializing neuralGAM..."

1/1 [==============================] - ETA: 0s - loss: 0.4424
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[1] "BACKFITTING Iteration 1 - Current Err =  0.569814615329674 BF Threshold =  0.001 Converged =  FALSE"
[1] "Initializing neuralGAM..."

1/1 [==============================] - ETA: 0s - loss: 11.8664
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[1] "BACKFITTING Iteration 1 - Current Err =  119.322822199361 BF Threshold =  0.001 Converged =  FALSE"
[1] "Computing CI/PI using uncertainty_method =  epistemic  at alpha =  0.05"
[1] "Initializing neuralGAM..."

1/1 [==============================] - ETA: 0s - loss: 13.3986
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[1] "BACKFITTING Iteration 1 - Current Err =  119.322822199361 BF Threshold =  0.001 Converged =  FALSE"
[1] "Initializing neuralGAM..."
[1] "ITER LOCAL SCORING 1"

1/1 [==============================] - ETA: 0s - loss: 17.4190
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[1] "BACKFITTING Iteration 1 - Current Err =  40.0135446943244 BF Threshold =  0.001 Converged =  FALSE"
[1] "Current delta  0.201921481082843  LS Threshold =  0.1 Converged =  FALSE"
[1] "Computing CI/PI using uncertainty_method =  epistemic  at alpha =  0.05"
[1] "Initializing neuralGAM..."
[1] "ITER LOCAL SCORING 1"

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[1] "BACKFITTING Iteration 1 - Current Err =  40.0135446943244 BF Threshold =  0.001 Converged =  FALSE"
[1] "Current delta  0.201921481082843  LS Threshold =  0.1 Converged =  FALSE"
[1] "Initializing neuralGAM..."
[1] "ITER LOCAL SCORING 1"

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[1] "BACKFITTING Iteration 1 - Current Err =  52.1848912354051 BF Threshold =  0.001 Converged =  FALSE"
[1] "Computing CI/PI using uncertainty_method =  epistemic  at alpha =  0.05"
[1] "Initializing neuralGAM..."
[1] "ITER LOCAL SCORING 1"

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[1] "BACKFITTING Iteration 1 - Current Err =  52.1848912354051 BF Threshold =  0.001 Converged =  FALSE"
[1] "Initializing neuralGAM..."

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[1] "BACKFITTING Iteration 1 - Current Err =  119.322822199361 BF Threshold =  0.001 Converged =  FALSE"
[1] "Computing CI/PI using uncertainty_method =  epistemic  at alpha =  0.9"
[1] "Initializing neuralGAM..."

1/1 [==============================] - ETA: 0s - loss: 11.8664
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[1] "BACKFITTING Iteration 1 - Current Err =  119.322822199361 BF Threshold =  0.001 Converged =  FALSE"
[1] "Computing CI/PI using uncertainty_method =  epistemic  at alpha =  0.5"
WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_begin` time: 0.0026s). Check your callbacks.
WARNING:tensorflow:Callback method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_begin` time: 0.0026s). Check your callbacks.
[1] "Initializing neuralGAM..."

 1/10 [==>...........................] - ETA: 5s - loss: 2.7303
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[1] "BACKFITTING Iteration 1 - Current Err =  0.000764949648542939 BF Threshold =  0.001 Converged =  TRUE"
[1] "Computing CI/PI using uncertainty_method =  epistemic  at alpha =  0.05"
[1] "Initializing neuralGAM..."

1/6 [====>.........................] - ETA: 3s - loss: 0.9337
6/6 [==============================] - 1s 28ms/step - loss: 0.7589 - val_loss: 0.8073

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[1] "BACKFITTING Iteration 1 - Current Err =  0.0811906382415963 BF Threshold =  0.001 Converged =  FALSE"

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[1] "BACKFITTING Iteration 2 - Current Err =  0.000652148314054988 BF Threshold =  0.001 Converged =  TRUE"
[1] "Initializing neuralGAM..."

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[1] "BACKFITTING Iteration 1 - Current Err =  57.6977796815016 BF Threshold =  0.001 Converged =  FALSE"

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[1] "BACKFITTING Iteration 2 - Current Err =  0.000632538478556233 BF Threshold =  0.001 Converged =  TRUE"
[1] "Initializing neuralGAM..."

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[1] "BACKFITTING Iteration 1 - Current Err =  1.32720867857906 BF Threshold =  0.001 Converged =  FALSE"

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[1] "BACKFITTING Iteration 2 - Current Err =  2.8070028750901e-05 BF Threshold =  0.001 Converged =  TRUE"
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0026s). Check your callbacks.
[1] "Initializing neuralGAM..."

1/6 [====>.........................] - ETA: 2s - loss: 2.0610WARNING:tensorflow:5 out of the last 19 calls to <function Model.make_test_function.<locals>.test_function at 0x0000022AD6A84C10> 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.

6/6 [==============================] - 1s 31ms/step - loss: 1.8285 - val_loss: 1.9217

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1/6 [====>.........................] - ETA: 2s - loss: 1.8949WARNING:tensorflow:6 out of the last 20 calls to <function Model.make_test_function.<locals>.test_function at 0x0000022AD6A49AF0> 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.

6/6 [==============================] - 1s 28ms/step - loss: 1.7317 - val_loss: 1.9051

1/7 [===>..........................] - ETA: 0s
7/7 [==============================] - 0s 3ms/step
[1] "BACKFITTING Iteration 1 - Current Err =  0.30602730012495 BF Threshold =  0.001 Converged =  FALSE"
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0026s). Check your callbacks.
Class: neuralGAM 
Family             : gaussian
Formula            : y ~ s(x1)
Observations       : 200
Intercept (eta0)   : 1.43371
Deviance explained : 6.43%
Train MSE          : 0.474335
Pred. / Conf. Int. : disabled
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 346 ]
> 
> proc.time()
   user  system elapsed 
  89.78    6.00   98.73