emukit.quadrature package

Module contents

This package contains solvers for numerical integration.

Subpackages

• emukit.quadrature.acquisitions package
  • Module contents
    • MutualInformation
      • MutualInformation.has_gradients
      • MutualInformation.evaluate()
      • MutualInformation.evaluate_with_gradients()
    • IntegralVarianceReduction
    • SquaredCorrelation
      • SquaredCorrelation.has_gradients
      • SquaredCorrelation.evaluate()
      • SquaredCorrelation.evaluate_with_gradients()
    • UncertaintySampling
      • UncertaintySampling.has_gradients
      • UncertaintySampling.evaluate()
      • UncertaintySampling.evaluate_with_gradients()
• emukit.quadrature.interfaces package
  • Module contents
    • IBaseGaussianProcess
      • IBaseGaussianProcess.observation_noise_variance
      • IBaseGaussianProcess.predict_with_full_covariance()
      • IBaseGaussianProcess.solve_linear()
      • IBaseGaussianProcess.graminv_residual()
      • IBaseGaussianProcess.get_prediction_gradients()
    • IStandardKernel
      • IStandardKernel.K()
      • IStandardKernel.dK_dx1()
      • IStandardKernel.dKdiag_dx()
    • IBrownian
      • IBrownian.variance
      • IBrownian.dK_dx1()
      • IBrownian.dKdiag_dx()
    • IRBF
      • IRBF.lengthscales
      • IRBF.variance
      • IRBF.dK_dx1()
      • IRBF.dKdiag_dx()
    • IProductBrownian
      • IProductBrownian.variance
      • IProductBrownian.offset
    • IProductMatern12
      • IProductMatern12.nu
      • IProductMatern12.lengthscales
      • IProductMatern12.variance
      • IProductMatern12.dKdiag_dx()
    • IProductMatern32
      • IProductMatern32.nu
      • IProductMatern32.lengthscales
      • IProductMatern32.variance
      • IProductMatern32.dKdiag_dx()
    • IProductMatern52
      • IProductMatern52.nu
      • IProductMatern52.lengthscales
      • IProductMatern52.variance
      • IProductMatern52.dKdiag_dx()
• emukit.quadrature.kernels package
  • Module contents
    • QuadratureKernel
      • QuadratureKernel.K()
      • QuadratureKernel.qK()
      • QuadratureKernel.Kq()
      • QuadratureKernel.qKq()
      • QuadratureKernel.dK_dx1()
      • QuadratureKernel.dK_dx2()
      • QuadratureKernel.dKdiag_dx()
      • QuadratureKernel.dqK_dx()
      • QuadratureKernel.dKq_dx()
    • QuadratureProductKernel
      • QuadratureProductKernel.qK()
      • QuadratureProductKernel.qKq()
      • QuadratureProductKernel.dqK_dx()
    • LebesgueEmbedding
      • LebesgueEmbedding.from_integral_bounds()
    • GaussianEmbedding
      • GaussianEmbedding.from_measure_params()
    • QuadratureBrownian
      • QuadratureBrownian.variance
    • QuadratureBrownianLebesgueMeasure
      • QuadratureBrownianLebesgueMeasure.qK()
      • QuadratureBrownianLebesgueMeasure.qKq()
      • QuadratureBrownianLebesgueMeasure.dqK_dx()
    • QuadratureRBF
      • QuadratureRBF.lengthscales
      • QuadratureRBF.variance
    • QuadratureRBFLebesgueMeasure
      • QuadratureRBFLebesgueMeasure.qK()
      • QuadratureRBFLebesgueMeasure.qKq()
      • QuadratureRBFLebesgueMeasure.dqK_dx()
    • QuadratureRBFGaussianMeasure
      • QuadratureRBFGaussianMeasure.qK()
      • QuadratureRBFGaussianMeasure.qKq()
      • QuadratureRBFGaussianMeasure.dqK_dx()
    • QuadratureProductMatern52
      • QuadratureProductMatern52.nu
      • QuadratureProductMatern52.lengthscales
      • QuadratureProductMatern52.variance
    • QuadratureProductMatern52LebesgueMeasure
    • QuadratureProductMatern32
      • QuadratureProductMatern32.nu
      • QuadratureProductMatern32.lengthscales
      • QuadratureProductMatern32.variance
    • QuadratureProductMatern32LebesgueMeasure
    • QuadratureProductMatern12
      • QuadratureProductMatern12.nu
      • QuadratureProductMatern12.lengthscales
      • QuadratureProductMatern12.variance
    • QuadratureProductMatern12LebesgueMeasure
    • QuadratureProductBrownian
      • QuadratureProductBrownian.variance
      • QuadratureProductBrownian.offset
    • QuadratureProductBrownianLebesgueMeasure
• emukit.quadrature.loop package
  • Module contents
    • BayesianMonteCarlo
    • VanillaBayesianQuadratureLoop
    • WSABILLoop
  • Submodules
    • BayesianMonteCarloPointCalculator
      • BayesianMonteCarloPointCalculator.compute_next_points()
• emukit.quadrature.measures package
  • Module contents
    • BoxDomain
      • BoxDomain.bounds
      • BoxDomain.convert_to_list_of_continuous_parameters()
    • IntegrationMeasure
      • IntegrationMeasure.input_dim
      • IntegrationMeasure.can_sample
      • IntegrationMeasure.compute_density()
      • IntegrationMeasure.compute_density_gradient()
      • IntegrationMeasure.reasonable_box()
      • IntegrationMeasure.sample()
    • GaussianMeasure
      • GaussianMeasure.input_dim
      • GaussianMeasure.full_covariance_matrix
      • GaussianMeasure.can_sample
      • GaussianMeasure.compute_density()
      • GaussianMeasure.compute_density_gradient()
      • GaussianMeasure.reasonable_box()
      • GaussianMeasure.sample()
    • LebesgueMeasure
      • LebesgueMeasure.input_dim
      • LebesgueMeasure.can_sample
      • LebesgueMeasure.compute_density()
      • LebesgueMeasure.compute_density_gradient()
      • LebesgueMeasure.reasonable_box()
      • LebesgueMeasure.sample()
      • LebesgueMeasure.from_bounds()
• emukit.quadrature.methods package
  • Module contents
    • WarpedBayesianQuadratureModel
      • WarpedBayesianQuadratureModel.X
      • WarpedBayesianQuadratureModel.Y
      • WarpedBayesianQuadratureModel.integral_bounds
      • WarpedBayesianQuadratureModel.reasonable_box_bounds
      • WarpedBayesianQuadratureModel.measure
      • WarpedBayesianQuadratureModel.transform()
      • WarpedBayesianQuadratureModel.inverse_transform()
      • WarpedBayesianQuadratureModel.predict_base()
      • WarpedBayesianQuadratureModel.predict_base_with_full_covariance()
      • WarpedBayesianQuadratureModel.predict_with_full_covariance()
      • WarpedBayesianQuadratureModel.predict()
      • WarpedBayesianQuadratureModel.set_data()
      • WarpedBayesianQuadratureModel.compute_warping_params()
      • WarpedBayesianQuadratureModel.optimize()
      • WarpedBayesianQuadratureModel.integrate()
      • WarpedBayesianQuadratureModel.symmetrize_matrix()
    • VanillaBayesianQuadrature
      • VanillaBayesianQuadrature.predict_base()
      • VanillaBayesianQuadrature.predict_base_with_full_covariance()
      • VanillaBayesianQuadrature.integrate()
      • VanillaBayesianQuadrature.get_prediction_gradients()
    • BoundedBayesianQuadrature
      • BoundedBayesianQuadrature.bound
      • BoundedBayesianQuadrature.is_lower_bounded
      • BoundedBayesianQuadrature.predict_base()
      • BoundedBayesianQuadrature.predict_base_with_full_covariance()
      • BoundedBayesianQuadrature.integrate()
      • BoundedBayesianQuadrature.get_prediction_gradients()
    • WSABIL
      • WSABIL.compute_warping_params()
  • Submodules
    • Warping
      • Warping.transform()
      • Warping.inverse_transform()
      • Warping.update_parameters()
    • IdentityWarping
      • IdentityWarping.transform()
      • IdentityWarping.inverse_transform()
    • SquareRootWarping
      • SquareRootWarping.transform()
      • SquareRootWarping.inverse_transform()