mfpml

Overview:

  • Summary

Get started:

  • Installation

Design of experiments:

  • Single-Fidelity Samplers
  • Multi-Fidelity Samplers
  • Summary

Problems:

  • Problems class structure
  • Single fidelity problems
  • Multi fidelity problems

Surrogates:

  • Single fidelity surrogates
  • Multi fidelity surrogates

Optimization:

  • Evolutionary algorithms
  • Single-fidelity Bayesian optimization
  • Multi-fidelity Bayesian optimization

API Reference:

  • API Documentation
mfpml
  • Overview: module code

All modules for which code is available

  • _abc
  • mfpml.design_of_experiment.mf_samplers
  • mfpml.design_of_experiment.sf_samplers
  • mfpml.models.co_kriging
  • mfpml.models.gaussian_process
  • mfpml.models.hierarchical_kriging
  • mfpml.models.kernels
  • mfpml.models.mf_gaussian_process
  • mfpml.models.scale_kriging
  • mfpml.optimization.evolutionary_algorithms
  • mfpml.optimization.mf_acqusitions
  • mfpml.optimization.mf_uncons_bo
  • mfpml.optimization.sf_uncons_acqusitions
  • mfpml.optimization.sf_uncons_bo
  • mfpml.problems.functions
  • mfpml.problems.mf_functions
  • mfpml.problems.sf_functions

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