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skopstask
tareknaser/skopstask
skopstask is a machine learning model from tareknaser. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Position: ML Open Source Engineer Internship - skops: Hugging Face and scikit-learn
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Updated Jan 7, 2023
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At a glance
- Access
- Public
- Created
- Jan 7, 2023
- Updated
- Jan 7, 2023
- SHA
- f487d06c
Model card
From the Hugging Face model README
Internship appplication task
Position: ML Open Source Engineer Internship - skops: Hugging Face and scikit-learn
Task requirments
- Create a python environment and install
scikit-learnversion1.0in that environment. - Using that environment, create a
LogisticRegressionmodel and fit it on the Iris dataset. - Save the trained model using
pickleorjoblib. - Create a second environment, and install
scikit-learnversion1.1in it. - Try loading the model you saved in step 3 in this second environment.
Steps Taken
- I used mamba to create the environment locally.
- Trained a simple logistic regression model in
model.ipynb. - Used pickle to save the model in
finalized_model.sav. - Created another environment with
scikit-learnversion1.1. - Imported the model in
importingmodel.ipynb.
Observations
A warning is shown when trying to load the model.
/home/tarek/.local/lib/python3.8/site-packages/sklearn/base.py:329: UserWarning: Trying to unpickle estimator LogisticRegression from version 1.0.2 when using version 1.1.0. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:
https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations
warnings.warn(
- Created
- Jan 7, 2023
- Updated
- Jan 7, 2023