I'm getting an exception when running the exact (A*) bayesian network structure learning algorithm. The snippet below is based on the Tutorial 4b notebook
```.python
from sklearn.datasets import load_digits
import numpy as np
from pomegranate import BayesianNetwork
num_cols = 7
X, y = load_digits(10, True)
X = X > np.mean(X)
X = X[:,:num_cols]
net = BayesianNetwork.from_samples(X, algorithm='exact')
TypeError Traceback (most recent call last)
7 X = X > np.mean(X)
8 X = X[:,:num_cols]
----> 9 net = BayesianNetwork.from_samples(X, algorithm='exact')
~/anaconda/envs/python3_general/lib/python3.6/site-packages/pomegranate/BayesianNetwork.pyx in pomegranate.BayesianNetwork.BayesianNetwork.from_samples (pomegranate/BayesianNetwork.c:19201)()
~/anaconda/envs/python3_general/lib/python3.6/site-packages/pomegranate/BayesianNetwork.pyx in pomegranate.BayesianNetwork.discrete_exact_a_star (pomegranate/BayesianNetwork.c:27099)()
~/anaconda/envs/python3_general/lib/python3.6/site-packages/pomegranate/utils.pyx in pomegranate.utils.PriorityQueue.pop (pomegranate/utils.c:2459)()
TypeError: '<' not supported between instances of 'NoneType' and 'tuple'
```
Interestingly, when num_cols is 6 or less everything works fine.
Details:
Please let me know if there's anything else you need. Thanks!
That's interesting! Can you try running with exact-dp and let me know if that works?
Yeah, exact-dp works fine
Anyone else able to reproduce this issue?
Sorry for the delay. I'm in a state of constant overload (aka grad school). I will look into this soon and get back to you. Can you use exact-dp until I can evaluate the issue?
No apology necessary. This issue isn't holding me up, I was just curious about the reproducibility. Thanks for all of your work on this project!
late on the response, but YES - I have the same issue;)
Hi @jmschrei .
Same issue here.
pomegranate version 0.9.0
But in my case the issue is in "from_structure"
That's weird. Can you post the error you get? from_structure shouldn't be calling from_samples, it should be calling fit
The code bellow:

The code works in the version 0.7.0.
Can you help me @jmschrei ?
I just pushed a fix for the issue that @jonmmease pointed out. @jonmmease can you pull the latest version and try with the fix? @willsilvano can you check and see if it fixed your issue as well?
Hi @jmschrei ,

Hello @jmschrei !
I've found the cause of error I've posted.
Analysing the from_samples method from ConditionalProbabilityTable class in the numpy.unique, I discover I have NAN values in one of my variables.
Fixing the values of my variable the error doesn't occurred anymore.
@willsilvano You might consider closing this then.
Most helpful comment
That's interesting! Can you try running with
exact-dpand let me know if that works?