deeprob-kit
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A Python Library for Deep Probabilistic Modeling
I was trying to run `plot_spn.py`, but the code raises an error. Here's the output: ``` Plotting the dummy SPN to spn-dummy.svg ... Traceback (most recent call last): File ".../deeprob-kit/examples/spn_plot.py",...
The library depends on the deprecated `sklearn` package and should be updated to use `scikit-learn` instead. See: https://pypi.org/project/sklearn/
`load_boston` was removed from sklearn. Message from import error for `load_boston` for context: """ `load_boston` has been removed from scikit-learn since version 1.2. The Boston housing prices dataset has an...
- Add an example about learning and using XPCs. - Add a script (similar to `experiments/spn.py`) to launch XPC experiments. - Add basic unit tests about XPC related modules.
Most of the code available in [BinaryCLT](https://github.com/deeprob-org/deeprob-kit/blob/main/deeprob/spn/structure/cltree.py) actually works for any tree-shaped Bayesian Network. Therefore, it would be better to create a super-class called TreeBN and then make BinaryCLT a...