Build reproducible machine learning models in Python.
What it does
Guides developers in building reproducible scikit-learn models with sound preprocessing, evaluation, and persistence practices.
When to use it
Use when developing, evaluating, or deploying scikit-learn models in Python.
How to use it
It changes how the agent develops machine learning code by requiring pipelines that separate preprocessing from test data.
What you provide
- An existing project
Latest review
What you need · 3
The guidance is for machine learning development in Python; no runtime version is specified.
Requires scikit-learn for the pipelines, preprocessing, estimators, and evaluation methods the guide uses.
Uses joblib to save and load models.
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