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
    • Modules
      • mfpml.design_of_experiment
      • mfpml.problems
      • mfpml.models
      • mfpml.optimization
mfpml
  • API Documentation

API Documentation¶

Modules¶

  • mfpml.design_of_experiment
    • mfpml.design_of_experiment.mf_samplers
    • mfpml.design_of_experiment.sf_samplers
  • mfpml.problems
    • mfpml.problems.functions
    • mfpml.problems.multifidelity_functions
    • mfpml.problems.singlefidelity_functions
  • mfpml.models
    • mfpml.models.kernels
    • mfpml.models.gaussian_process
    • mfpml.models.mf_gaussian_process
    • mfpml.models.hierarchical_kriging
    • mfpml.models.co_kriging
    • mfpml.models.scale_kriging
  • mfpml.optimization
    • mfpml.optimization.evolutionary_algorithms
    • mfpml.optimization.single_fidelity_Bayesian_optimization
    • mfpml.optimization.single_fidelity_acqusitions
    • mfpml.optimization.multi_fidelity_Bayesian_optimization
    • mfpml.optimization.multi_fidelity_acqusitions
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