pzivich / pzivich/publications-code

“check_conditional” function missing in networkTMLE/AmonHen/amonhen/utils.py

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Python
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Description

Hi, we find your work "NetworkTMLE" very interesting, and we would like to reproduce the simulation on our own. However, we have also found the following issues or bugs in the published code. Perhaps the code may not be up-to-date? If you could respond to the problems we ran into and listed below, we would really appreciate your help.

  1. The dependencies omit the matplotlib pkg, which is required for NetworkX.
  2. When running the example_usage.py, we encountered the following bug report:
    1. By running command from amonhen import NetworkTMLE, it is reported that in the AmoHen pkg, check_conditional and stochastic_check_conditional cannot be found in the utils.py. This is true in the current version.
    2. By running command from beowulf import (...), it is reported that ModuleNotFoundError: No module named 'beowulf.dgm' in the publications-code/networkTMLE/Beowulf/beowulf/__init__.py file
    3. The same issue occurred when we ran from beowulf.dgm import ...

We have listed the error message below, let us know if there's anything we have done wrong or missed. Thank you in advance!

Screenshot 2023-12-19 at 10 53 00
Screenshot 2023-12-19 at 10 52 50

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with amonhen/utils.py and the imports in example_usage.py to reproduce the missing check_conditional functions. Then inspect publications-code/networkTMLE/Beowulf/beowulf/init.py and the beowulf.dgm import, along with the dependency list. Done means the reported imports and example run work, and matplotlib is declared as a dependency.

Written by the indexing model from the issue text.

Assessment

Tech stack
matplotlib, python
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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