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I am trying to get the predictor name of a model, so that I can further get the coefficients of LR model, but I am getting the following error-
"No module named sklearn.linear_model.logistic" when I do dataiku.Model(model_name).get_predictor()
Hi,
It seems a package is missing in your code env. You can check that on Administration > Code Envs > <select the notebook's code env> > Currently installed packages
Do you find 'scikit-learn' among them? If so, what version is it?, it may need to be updated.
If not, could you please make sure the code env used for this notebook has installed the 'Visual Machine Learning (scikit-learn, XGBoost,LightGBM)' package set?
Hi,
It seems a package is missing in your code env. You can check that on Administration > Code Envs > <select the notebook's code env> > Currently installed packages
Do you find 'scikit-learn' among them? If so, what version is it?, it may need to be updated.
If not, could you please make sure the code env used for this notebook has installed the 'Visual Machine Learning (scikit-learn, XGBoost,LightGBM)' package set?
Thanks for your response! It helped. The sklearn version in Visual ML recipe was older then the one I was using in the python recipe.
@MiguelangelC I am still facing the same issue even after having the updated version of scikit-learn(version: 0.24.2) in my code envs installed packages. I also have installed the 'Visual Machine Learning (scikit-learn, XGBoost,LightGBM)' package set in my code env. Could you please help me in resolving this issue ?
No module named sklearn.linear_model.logistic when I do model_1.get_predictor() where I am trying to load the already saved model.
Can anyone please help me here to resolve this issue ?
Hi @vaishnavi
logistic appeared in sklearn since 0.22 version:
https://github.com/scikit-learn/scikit-learn/blob/0.22.X/sklearn/linear_model/_logistic.py
Please make sure that you are using the correct code env and either stop the current kernel/ kill the session or "Force reload" the notebook to make sure you are loading the updated code env.
Hi @sergeyd I did check the python code env and made sure that am using scikit-learn == 0.24.2 version. I then force reloaded the python notebook as well. Still facing the same issue.
I cannot reproduce the issue with scikit-learn>0.22 in the code env.
Hi @sergeyd I have attached few images related to the python env I am using and the packages version for better understanding of the issue.
@sergeyd After updating the python version to 3.9, I am getting the below error when I execute
model_1 = dataiku.Model(<model_id>)
pred_1 = model_1.get_predictor()
TypeError: an integer is required (got type bytes)