SWIFT-Emulator
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  • Getting Started
  • Analysis tools
  • Emulator Options
  • Interaction with SWIFT
  • Comparing With Data
  • API Documentation
    • swiftemulator package
      • Subpackages
        • swiftemulator.backend package
        • swiftemulator.comparison package
        • swiftemulator.design package
        • swiftemulator.emulators package
        • swiftemulator.io package
        • swiftemulator.mean_models package
        • swiftemulator.mocking package
        • swiftemulator.sensitivity package
  • Indices and tables
SWIFT-Emulator
  • API Documentation
  • swiftemulator package
  • swiftemulator.mean_models package
  • Edit on GitHub

swiftemulator.mean_models package

Mean models, usually used to create a basic parametrisation of the space to enable the GPE to more efficiently model residuals.

Submodules

  • swiftemulator.mean_models.base module
    • MeanModel
      • MeanModel.train()
      • MeanModel.predict()
      • MeanModel.george_model
      • MeanModel.copy()
  • swiftemulator.mean_models.linear module
    • LinearMeanModel
      • LinearMeanModel.lasso_model_alpha
      • LinearMeanModel.model
      • LinearMeanModel.train()
      • LinearMeanModel.predict()
  • swiftemulator.mean_models.offset module
    • OffsetMeanModel
      • OffsetMeanModel.model
      • OffsetMeanModel.train()
      • OffsetMeanModel.predict()
  • swiftemulator.mean_models.polynomial module
    • PolynomialMeanModel
      • PolynomialMeanModel.degree
      • PolynomialMeanModel.model
      • PolynomialMeanModel.train()
      • PolynomialMeanModel.predict()
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© Copyright 2021, Josh Borrow & Roi Kugel. Revision 478e04c3.

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