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Opinion you: Conformal Predictions

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Conformal Predictions - opinion

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Comments (8)

  1. Daizilkree
    Python implementation of the conformal prediction framework. Primarily to be used as an extension to the scikit-learn library.
  2. Arashik
    Topic includes: Theoretical analysis of conformal prediction, including performance guarantees Applications of conformal prediction in various fields, including bioinformatics, drug discovery, medicine, natural Novel conformity measures Conformal anomaly detection Venn prediction and other.
  3. Shami
    The approach we consider in these notes is conformal prediction. The idea is due to Vovk, Gammerman and Shafer (). The statistical theory for conformal prediction was devel-. oped in Lei, Robins and Wasserman (), Lei and Wasserman (), Lei, G’Sell, Rinaldo.
  4. Gakinos
    No code available yet. Get the latest machine learning methods with code. Browse our catalogue of tasks and access state-of-the-art solutions.
  5. Goltigar
    Conformal Prediction Although machine-learning methods often work well, the performance guarantees proven for them are typically too asymptotic to be useful. Conformal predictors, which perform equally well, come developed with simple and useful measures of confldence.
  6. Kigam
    Conformal prediction, a framework pioneered by Vladimir Vovk and colleagues in the s, provides a means for achieving this goal, relying only on exchangeablility of the training and test data. The definitive reference is the book.
  7. Murisar
    This tutorial offers an introduction to conformal inference, which is a method for constructing valid (with respect to coverage error) prediction bands for individual forecasts. The appeal of conformal inference is that it relies on few parametric assumptions.
  8. Gum
    a method of prediction recently developed in machine learning. Conformal predictors are among the most accurate methods of machine learning, and unlike other state-of-the-art methods, they provide information about their own accuracy and reliability. The book integrates mathematical theory and revealing experimental work.

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