Comments (3)
Hi @amitdingareNovelis ,
Not quite sure what's happening there. What might explain the error is that this package doesn't officially support the Windows OS (even though I thought it could work but I never tested it).
Did you also try using a virtual env?
Also, do you have a Docker environment to test it as well? Maybe it'll be the definitive solution for running on Windows I guess.
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After several uninstalls and installs of tensorflow and tfcausalimpact package, I was able to make it work. Although, now it generates warnings as below. I see these warnings even for running the example notebooks from the package
WARNING:tensorflow:AutoGraph could not transform <function sample_uniform_initial_state.<locals>.<lambda> at 0x00000170A3EB0168> and will run it as-is.
Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.
Cause: 'arguments' object has no attribute 'posonlyargs'
To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert
WARNING: AutoGraph could not transform <function sample_uniform_initial_state.<locals>.<lambda> at 0x00000170A3EB0168> and will run it as-is.
Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.
Cause: 'arguments' object has no attribute 'posonlyargs'
To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert
from tfcausalimpact.
That's good news. Those warnings are part of the Tensorflow packages and we didn't find how to turn them off.
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Related Issues (20)
- Installation HOT 3
- Add compatibility for Python 3.10 HOT 4
- 'CausalImpact' object has no attribute 'posterior_dist' HOT 2
- TypeError: ufunc 'isfinite' not supported for the input types HOT 5
- is there a way to check the coefficient of regression part ? HOT 4
- Saving Figures of the Model Output HOT 2
- AttributeError: 'NoneType' object has no attribute 'loc' HOT 4
- Understanding the results and improving the model HOT 2
- p-value is always less than 0.5 HOT 1
- How to save model ? HOT 2
- Categorical Variables HOT 2
- have an error when using customized model HOT 6
- ResourceExhaustedError HOT 1
- How to save the results HOT 2
- Support Python 3.11
- AttributeError: 'NoneType' object has no attribute 'loc' HOT 3
- how to specify which column is y HOT 2
- Question: Is it possible to extract inclusion probabilities of predictors from trained model? HOT 1
- Warnings: deprecated tensorflow features HOT 1
- Question: how to access the P-value as a variable from the model HOT 1
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