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2.7. Novelty and Outlier Detection is included below. Adapt the question and comparison, then copy or download your plan.

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  • 2.7. Novelty and Outlier Detection →

    scikit-learn documentation. 2.7. Novelty and Outlier Detection. https://scikit-learn.org/stable/modules/outlier_detection.html; observed version 1.9.1 (observed documentation version; stable URL is mutable).

    Record revision: ba542c4ba7b1520c07a0056b660e202cbb1c832fee9a0994992e9aa5c6a338ee

Source links open the current listing. This plan retains the revisions above; listing review does not grant permission to copy or adapt source files.

Before carrying out this plan

  • scikit-learn 1.9.1
  • Compatible NumPy/SciPy and compiled dependencies; exact environment not prepared

Limits to keep in view

  • No upstream example, source package, build hook or submitted code was executed.
  • The current qualified pilot accepts only self-contained Python 3.13 with a 90-second deadline. This reference's package/runtime is not qualified for that path.
  • The proposed protocol requires bounded resource estimates and an independently controlled evaluator before any scientific execution claim.

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