scikit-learn Model
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A scikit-learn Model is a Prediction Structure produced by a sckit-learn library.
- Context:
- It can range from being a Memory-based scikit-learn Prediction Structure to being a File-based scikit-learn Structure.
- Example(s):
- Counter-Example(s):
- See: PMML, PMML File.
References
2014
- http://scikit-learn.org/stable/modules/model_persistence.html#model-persistence
- After training a scikit-learn model, it is desirable to have a way to persist the model for future use without having to retrain. The following section gives you an example of how to persist a model with pickle. We’ll also review a few security and maintainability issues when working with pickle serialization. ...
... It is possible to save a model in the scikit by using Python’s built-in persistence model, namely pickle:
- After training a scikit-learn model, it is desirable to have a way to persist the model for future use without having to retrain. The following section gives you an example of how to persist a model with pickle. We’ll also review a few security and maintainability issues when working with pickle serialization. ...