[Python] Failed import in jupyter notebook venv kernel in VS Code but successful import in...

I was trying to go over this pgymy tutorial and I ran into an issue with the package. I am running this on a Jupyter notebook on VS Code on Windows.

from pgmpy.models import DiscreteBayesianNetwork


However, I get this error:

ImportError: cannot import name 'DiscreteBayesianNetwork' from 'pgmpy.models' (J:\.venv\Lib\site-packages\pgmpy\models\__init__.py)


I see that I have version 1.0.0, which is the latest for pgmpy but here are the versions of the rest of the packages.

$ pip list
Package Version
----------------- -----------
asttokens 3.0.0
colorama 0.4.6
comm 0.2.2
debugpy 1.8.12
decorator 5.1.1
executing 2.2.0
filelock 3.17.0
fsspec 2025.2.0
ipykernel 6.29.5
ipython 8.32.0
jedi 0.19.2
Jinja2 3.1.5
joblib 1.5.0
jupyter_client 8.6.3
jupyter_core 5.7.2
MarkupSafe 3.0.2
matplotlib-inline 0.1.7
mpmath 1.3.0
nest-asyncio 1.6.0
networkx 3.4.2
numpy 2.2.3
opt_einsum 3.4.0
packaging 24.2
pandas 2.2.3
parso 0.8.4
patsy 1.0.1
pgmpy 1.0.0
pillow 11.1.0
pip 25.0.1
platformdirs 4.3.6
prompt_toolkit 3.0.50
psutil 6.1.1
pure_eval 0.2.3
Pygments 2.19.1
pyro-api 0.1.2
pyro-ppl 1.9.1
python-dateutil 2.9.0.post0
pytz 2025.2
pywin32 308
pyzmq 26.2.1
scikit-learn 1.6.1
scipy 1.15.2
setuptools 75.8.2
six 1.17.0
stack-data 0.6.3
statsmodels 0.14.4
sympy 1.13.1
threadpoolctl 3.6.0
torch 2.6.0
torchvision 0.21.0
tornado 6.4.2
tqdm 4.67.1
traitlets 5.14.3
typing_extensions 4.12.2
tzdata 2025.2
wcwidth 0.2.13


The other thing I did was I ran python in the shell and the import worked and I also ran this answer's suggestion to check the module's version.

$ python
Python 3.13.1 (tags/v3.13.1:0671451, Dec 3 2024, 19:06:28) [MSC v.1942 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> from pgmpy.models import DiscreteBayesianNetwork

>>> from importlib.metadata import version
>>> version('pgmpy')
'1.0.0'


Everything seems to check out. Is there something I am missing?

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