Erdogan

which version are u using? ``` import bnlearn bnlearn.__version__ ```

Your fix also seems to bring a solution. In an earlier version I incorporated this fix: `df = pd.DataFrame(data = list(itertools.product(np.arange(0, len(query.values)), repeat=len(query.variables))), columns=query.variables) ` Let me know if it...

reopen if still causes issues.

Thanks for reporting this again! I fixed it with a different solution where I manually walk through the object and extract the necessary information for the dataframe. It should be...

Closing this one. Reopen if still causes issues.

You are right, this function is quite slow as it runs in a simple for-loop. Using your approach will not work for this function. I created a small update and...

It took a while but I created a first implementation of the K-distribution based on your input. You can test the new functionality as following: Install from github source: `install...

Did you also try the `numba` package? It requires to import a decorator `jit` and it will do all the rest. from numba import njit ``` # @njit def predict(model,...

I am closing this issue. Please re-open if needed.

I added the julia code in the github. I did an attempt to manually rewrite it to Python but without being experienced in Julia, it was quite intensive. Now I...