Install from Pypi (pip)
pip install bnlearn
# Force install the latest version by using the -U (update) argument.
pip install -U bnlearn
Install from github
pip install git+https://github.com/erdogant/bnlearn
Create environment
If desired, install bnlearn
from an isolated Python environment using conda:
conda create -n env_bnlearn python=3.10
conda activate env_bnlearn
Notice the last line. You need to see that your environment is now set as bnlearn
. In my case it is as following:
(env_bnlearn) D:\>
Uninstall
If you want to remove your bnlearn
installation with your environment, it can be as following:
# List all the active environments. bnlearn should be listed.
conda env list
# Remove the bnlearn environment
conda env remove --name env_bnlearn
# List all the active environments. *env_bnlearn* should be absent.
conda env list
Validate
Lets checkout whether it works by a simple example. Start python in your console:
python
Run the following lines which should result in a figure:
import bnlearn as bn
df = bn.import_example()
model = bn.structure_learning.fit(df)
G = bn.plot(model)
Import Error
If you are using jupyter notebook or colab, you can get a numpy
error because by default, an older version of numpy
is installed.
# Import
import bnlearn as bn
# The following error occurs
RuntimeError : Traceback (most recent call last)
RuntimeError: module compiled against API version 0x10 but this version of numpy is 0xf . Check the section C-API incompatibility at the Troubleshooting ImportError section at https://numpy.org/devdocs/user/troubleshooting-importerror.html#c-api-incompatibility for indications on how to solve this problem .
ImportError: numpy.core.multiarray failed to import
To fix this, you need an installation of numpy version=>1.24.1 which is installed during the bnlearn
installation.
However, when you are using colab or a jupyter notebook, you need to reset your kernel first to let it work.
Go to the menu and click Runtime -> restart runtime. Now again import bnlearn, and it should work.