The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computation of remaining useful life) of engineering systems, and provides a set of models and algorithms for select components developed within this framework, suitable for use in prognostic applications.
Seems to mostly be working, but I do get this error on (I think) all of the tensorflow tests:
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ERROR: test_lstm_simple (tests.test_data_model.TestDataModel)
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Traceback (most recent call last):
File "/home/jason/code/nasa/progpy/tests/test_data_model.py", line 127, in test_lstm_simple
m = self._test_simple_case(LSTMStateTransitionModel, window=5, epochs=20, max_error=3)
File "/home/jason/code/nasa/progpy/tests/test_data_model.py", line 48, in _test_simple_case
m2 = DataModelType.from_data(
File "/home/jason/code/nasa/progpy/src/progpy/data_models/lstm_model.py", line 598, in from_data
history = model.fit(
File "/home/jason/code/nasa/progpy_venv/lib/python3.10/site-packages/keras/src/utils/traceback_utils.py", line 122, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/jason/code/nasa/progpy_venv/lib/python3.10/site-packages/keras/src/utils/traceback_utils.py", line 117, in error_handler
return fn(*args, **kwargs)
TypeError: TensorFlowTrainer.fit() got an unexpected keyword argument 'workers'
Could be related to the fact that I am running this in Windows WSL?
Seems to mostly be working, but I do get this error on (I think) all of the tensorflow tests:
Could be related to the fact that I am running this in Windows WSL?
Originally posted by @jason-watkins in https://github.com/nasa/progpy/pull/154#issuecomment-2258699150