scikit-learn Model

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):
  • File:scikit-learn ModelFile test.
  • …
• Counter-Example(s):
  • a PMML-based Decision Tree Model File.
• See: PMML, PMML File.

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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:

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