Installing LLFP Dependent Third-Party Python Libraries
- After deploying the patch 33672339_GENERIC.zip, navigate to <Installer path>/ OFS_LLFP/bin/LLFPMODELS.
- Inside the same directory, find the requirements.txt File.
requirements.txt numpy==1.19.5
pandas==1.3.3
scipy==1.7.1
scikit-learn==1.0
matplotlib==3.4.3
seaborn==0.11.2
statsmodels==0.12.2
lifelines==0.26.3
Note:
The following step will install the above libraries with this specific version. If you have any conflict with the Python libraries version, then reinstall the Python and required libraries in different a path or folder or use the existing version.If Python is configured in a different path other than the default, configure the Datastudio Python Interpreter Parameter ##PYTHON_HOME##.
For more information, see the OFS Data Studio Installation Guide Section(7).
Execute the below command:
python3 -m pip install requirements.txt --userpython3 in the above script can be changed with whatever the python alias is set on the system to access the python environment (e.g., python3.9) or simply run,pip install requirements.txt --userorpip3 install requirements.txt –user