swiftemulator package

Subpackages

• swiftemulator.backend package
  • Submodules
    • swiftemulator.backend.emulator_generator module
      • EmulatorGenerator
        • EmulatorGenerator.model_specification
        • EmulatorGenerator.model_parameters
        • EmulatorGenerator.create_gaussian_process_emulator()
        • EmulatorGenerator.create_gaussian_process_emulator_mcmc()
        • EmulatorGenerator.create_gaussian_process_emulator_bins()
        • EmulatorGenerator.create_linear_model_emulator()
    • swiftemulator.backend.model_parameters module
      • ModelParameters
        • ModelParameters.model_parameters
        • ModelParameters.items()
        • ModelParameters.keys()
        • ModelParameters.values()
        • ModelParameters.find_closest_model()
        • ModelParameters.plot_model()
        • ModelParameters.to_yaml()
        • ModelParameters.from_yaml()
        • ModelParameters.to_json()
        • ModelParameters.from_json()
    • swiftemulator.backend.model_specification module
      • ModelSpecification
        • ModelSpecification.number_of_parameters
        • ModelSpecification.parameter_names
        • ModelSpecification.parameter_limits
        • ModelSpecification.parameter_printable_names
        • ModelSpecification.salib_problem
    • swiftemulator.backend.model_values module
      • ModelValues
        • ModelValues.model_values
        • ModelValues.items()
        • ModelValues.keys()
        • ModelValues.values()
        • ModelValues.number_of_variables
        • ModelValues.to_yaml()
        • ModelValues.from_yaml()
        • ModelValues.to_json()
        • ModelValues.from_json()
• swiftemulator.comparison package
  • Submodules
    • swiftemulator.comparison.penalty module
      • PenaltyCalculator
        • PenaltyCalculator.observation
        • PenaltyCalculator.interpolator_values
        • PenaltyCalculator.interpolator_error
        • PenaltyCalculator.log_independent
        • PenaltyCalculator.log_dependent
        • PenaltyCalculator.independent_units
        • PenaltyCalculator.dependent_units
        • PenaltyCalculator.register_observation()
        • PenaltyCalculator.observation_interpolation()
        • PenaltyCalculator.penalty()
        • PenaltyCalculator.penalties()
        • PenaltyCalculator.plot_penalty()
      • L1PenaltyCalculator
        • L1PenaltyCalculator.offset
        • L1PenaltyCalculator.lower
        • L1PenaltyCalculator.upper
        • L1PenaltyCalculator.observation_interpolation()
        • L1PenaltyCalculator.penalty()
      • L1PenaltyCalculatorOneSided
        • L1PenaltyCalculatorOneSided.offset
        • L1PenaltyCalculatorOneSided.maximum_penalty
        • L1PenaltyCalculatorOneSided.lower
        • L1PenaltyCalculatorOneSided.upper
        • L1PenaltyCalculatorOneSided.observation_interpolation()
        • L1PenaltyCalculatorOneSided.penalty()
      • L2PenaltyCalculator
        • L2PenaltyCalculator.offset
        • L2PenaltyCalculator.lower
        • L2PenaltyCalculator.upper
        • L2PenaltyCalculator.observation_interpolation()
        • L2PenaltyCalculator.penalty()
      • L1VariablePenaltyCalculator
        • L1VariablePenaltyCalculator.offset_lower
        • L1VariablePenaltyCalculator.offset_upper
        • L1VariablePenaltyCalculator.offset_transition
        • L1VariablePenaltyCalculator.transition_width
        • L1VariablePenaltyCalculator.lower
        • L1VariablePenaltyCalculator.upper
        • L1VariablePenaltyCalculator.offset_below_above_ratio
        • L1VariablePenaltyCalculator.observation_interpolation()
        • L1VariablePenaltyCalculator.penalty()
      • L1SqueezePenaltyCalculator
        • L1SqueezePenaltyCalculator.offset_squeeze
        • L1SqueezePenaltyCalculator.offset_normal
        • L1SqueezePenaltyCalculator.offset_transition
        • L1SqueezePenaltyCalculator.transition_width
        • L1SqueezePenaltyCalculator.lower
        • L1SqueezePenaltyCalculator.upper
        • L1SqueezePenaltyCalculator.offset_below_above_ratio
        • L1SqueezePenaltyCalculator.observation_interpolation()
        • L1SqueezePenaltyCalculator.penalty()
      • GaussianDataErrorsPenaltyCalculator
        • GaussianDataErrorsPenaltyCalculator.sigma_max
        • GaussianDataErrorsPenaltyCalculator.lower
        • GaussianDataErrorsPenaltyCalculator.upper
        • GaussianDataErrorsPenaltyCalculator.error_interpolator_values
        • GaussianDataErrorsPenaltyCalculator.observation_interpolation()
        • GaussianDataErrorsPenaltyCalculator.penalty()
      • GaussianPercentErrorsPenaltyCalculator
        • GaussianPercentErrorsPenaltyCalculator.percent_error
        • GaussianPercentErrorsPenaltyCalculator.sigma_max
        • GaussianPercentErrorsPenaltyCalculator.lower
        • GaussianPercentErrorsPenaltyCalculator.upper
        • GaussianPercentErrorsPenaltyCalculator.observation_interpolation()
        • GaussianPercentErrorsPenaltyCalculator.penalty()
      • GaussianDataErrorsPercentFloorPenaltyCalculator
        • GaussianDataErrorsPercentFloorPenaltyCalculator.percent_error
        • GaussianDataErrorsPercentFloorPenaltyCalculator.sigma_max
        • GaussianDataErrorsPercentFloorPenaltyCalculator.lower
        • GaussianDataErrorsPercentFloorPenaltyCalculator.upper
        • GaussianDataErrorsPercentFloorPenaltyCalculator.error_interpolator_values
        • GaussianDataErrorsPercentFloorPenaltyCalculator.observation_interpolation()
        • GaussianDataErrorsPercentFloorPenaltyCalculator.penalty()
      • GaussianWeightedDataErrorsPercentFloorPenaltyCalculator
        • GaussianWeightedDataErrorsPercentFloorPenaltyCalculator.percent_error
        • GaussianWeightedDataErrorsPercentFloorPenaltyCalculator.sigma_max
        • GaussianWeightedDataErrorsPercentFloorPenaltyCalculator.weight
        • GaussianWeightedDataErrorsPercentFloorPenaltyCalculator.lower
        • GaussianWeightedDataErrorsPercentFloorPenaltyCalculator.upper
        • GaussianWeightedDataErrorsPercentFloorPenaltyCalculator.error_interpolator_values
        • GaussianWeightedDataErrorsPercentFloorPenaltyCalculator.observation_interpolation()
        • GaussianWeightedDataErrorsPercentFloorPenaltyCalculator.penalty()
    • swiftemulator.comparison.visualisation module
      • visualise_penalties_mean()
      • visualise_penalties_generic_statistic()
• swiftemulator.design package
  • Submodules
    • swiftemulator.design.latin module
      • create_hypercube()
    • swiftemulator.design.random module
      • create_cube()
    • swiftemulator.design.transform module
      • transform_to_model_spec()
• swiftemulator.emulators package
  • Submodules
    • swiftemulator.emulators.base module
      • BaseEmulator
        • BaseEmulator.ordering
        • BaseEmulator.parameter_order
        • BaseEmulator.model_specification
        • BaseEmulator.model_parameters
        • BaseEmulator.model_values
        • BaseEmulator.independent_variables
        • BaseEmulator.dependent_variables
        • BaseEmulator.dependent_variable_errors
        • BaseEmulator.emulator
        • BaseEmulator.fit_model()
        • BaseEmulator.predict_values()
    • swiftemulator.emulators.gaussian_process module
      • GaussianProcessEmulator
        • GaussianProcessEmulator.kernel
        • GaussianProcessEmulator.mean_model
        • GaussianProcessEmulator.model_specification
        • GaussianProcessEmulator.model_parameters
        • GaussianProcessEmulator.model_values
        • GaussianProcessEmulator.ordering
        • GaussianProcessEmulator.parameter_order
        • GaussianProcessEmulator.independent_variables
        • GaussianProcessEmulator.dependent_variables
        • GaussianProcessEmulator.dependent_variable_errors
        • GaussianProcessEmulator.emulator
        • GaussianProcessEmulator.fit_model()
        • GaussianProcessEmulator.predict_values()
    • swiftemulator.emulators.gaussian_process_bins module
      • GaussianProcessEmulatorBins
        • GaussianProcessEmulatorBins.kernel
        • GaussianProcessEmulatorBins.mean_model
        • GaussianProcessEmulatorBins.model_specification
        • GaussianProcessEmulatorBins.model_parameters
        • GaussianProcessEmulatorBins.model_values
        • GaussianProcessEmulatorBins.ordering
        • GaussianProcessEmulatorBins.parameter_order
        • GaussianProcessEmulatorBins.independent_variables
        • GaussianProcessEmulatorBins.dependent_variables
        • GaussianProcessEmulatorBins.dependent_variable_errors
        • GaussianProcessEmulatorBins.n_bins
        • GaussianProcessEmulatorBins.bin_model_values
        • GaussianProcessEmulatorBins.bin_centers
        • GaussianProcessEmulatorBins.bin_gaussian_process
        • GaussianProcessEmulatorBins.fit_model()
        • GaussianProcessEmulatorBins.predict_values()
    • swiftemulator.emulators.gaussian_process_mcmc module
      • GaussianProcessEmulatorMCMC
        • GaussianProcessEmulatorMCMC.kernel
        • GaussianProcessEmulatorMCMC.mean_model
        • GaussianProcessEmulatorMCMC.burn_in_steps
        • GaussianProcessEmulatorMCMC.mcmc_steps
        • GaussianProcessEmulatorMCMC.walkers
        • GaussianProcessEmulatorMCMC.use_hyperparameter_error
        • GaussianProcessEmulatorMCMC.samples_for_error
        • GaussianProcessEmulatorMCMC.model_specification
        • GaussianProcessEmulatorMCMC.model_parameters
        • GaussianProcessEmulatorMCMC.model_values
        • GaussianProcessEmulatorMCMC.ordering
        • GaussianProcessEmulatorMCMC.parameter_order
        • GaussianProcessEmulatorMCMC.independent_variables
        • GaussianProcessEmulatorMCMC.dependent_variables
        • GaussianProcessEmulatorMCMC.dependent_variable_errors
        • GaussianProcessEmulatorMCMC.emulator
        • GaussianProcessEmulatorMCMC.fit_model()
        • GaussianProcessEmulatorMCMC.plot_hyperparameter_distribution()
        • GaussianProcessEmulatorMCMC.predict_values()
    • swiftemulator.emulators.gaussian_process_one_dim module
      • GaussianProcessEmulator1D
        • GaussianProcessEmulator1D.kernel
        • GaussianProcessEmulator1D.mean_model
        • GaussianProcessEmulator1D.model_specification
        • GaussianProcessEmulator1D.model_parameters
        • GaussianProcessEmulator1D.model_values
        • GaussianProcessEmulator1D.ordering
        • GaussianProcessEmulator1D.parameter_order
        • GaussianProcessEmulator1D.independent_variables
        • GaussianProcessEmulator1D.dependent_variables
        • GaussianProcessEmulator1D.dependent_variable_errors
        • GaussianProcessEmulator1D.emulator
        • GaussianProcessEmulator1D.fit_model()
        • GaussianProcessEmulator1D.predict_values()
    • swiftemulator.emulators.linear_model module
      • LinearModelEmulator
        • LinearModelEmulator.lasso_model_alpha
        • LinearModelEmulator.ordering
        • LinearModelEmulator.parameter_order
        • LinearModelEmulator.independent_variables
        • LinearModelEmulator.dependent_variables
        • LinearModelEmulator.dependent_variable_errors
        • LinearModelEmulator.model_specification
        • LinearModelEmulator.model_parameters
        • LinearModelEmulator.model_values
        • LinearModelEmulator.emulator
        • LinearModelEmulator.fit_model()
        • LinearModelEmulator.predict_values()
    • swiftemulator.emulators.multi_gaussian_process module
      • MultipleGaussianProcessEmulator
        • MultipleGaussianProcessEmulator.kernel
        • MultipleGaussianProcessEmulator.mean_model
        • MultipleGaussianProcessEmulator.independent_regions
        • MultipleGaussianProcessEmulator.model_specification
        • MultipleGaussianProcessEmulator.model_parameters
        • MultipleGaussianProcessEmulator.model_values
        • MultipleGaussianProcessEmulator.model_values_regions
        • MultipleGaussianProcessEmulator.emulators
        • MultipleGaussianProcessEmulator.fit_model()
        • MultipleGaussianProcessEmulator.predict_values()
• swiftemulator.io package
  • Submodules
    • swiftemulator.io.swift module
      • load_pipeline_outputs()
      • load_parameter_files()
      • write_parameter_files()
• swiftemulator.mean_models package
  • 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()
• swiftemulator.mocking package
  • mock_hypercube()
  • mock_sweep()
• swiftemulator.sensitivity package
  • Submodules
    • swiftemulator.sensitivity.basic module
      • binwise_sensitivity()
      • plot_binwise_sensitivity()
    • swiftemulator.sensitivity.cross_check module
      • CrossCheck
        • CrossCheck.kernel
        • CrossCheck.mean_model
        • CrossCheck.hide_progress
        • CrossCheck.model_specification
        • CrossCheck.model_parameters
        • CrossCheck.model_values
        • CrossCheck.leave_out_order
        • CrossCheck.cross_emulators
        • CrossCheck.build_emulators()
        • CrossCheck.build_mocked_model_values_original_independent()
        • CrossCheck.build_mocked_model_values()
        • CrossCheck.plot_results()
        • CrossCheck.get_mean_squared()
    • swiftemulator.sensitivity.cross_check_bins module
      • CrossCheckBins
        • CrossCheckBins.kernel
        • CrossCheckBins.mean_model
        • CrossCheckBins.hide_progress
        • CrossCheckBins.model_specification
        • CrossCheckBins.model_parameters
        • CrossCheckBins.model_values
        • CrossCheckBins.leave_out_order
        • CrossCheckBins.cross_emulators
        • CrossCheckBins.build_emulators()
        • CrossCheckBins.plot_results()
        • CrossCheckBins.get_mean_squared()