https://github.com/tmcclintock/gpsampler

Given a likelihood function and an array of parameters, we can construct a latin-hypercube in the parameter space from which we can build a Gaussian process to make predictions of that function.
https://github.com/tmcclintock/gpsampler

Last synced: 12 days ago
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Given a likelihood function and an array of parameters, we can construct a latin-hypercube in the parameter space from which we can build a Gaussian process to make predictions of that function.

• Host: GitHub
• URL: https://github.com/tmcclintock/gpsampler
• Owner: tmcclintock
• License: mit
• Created: 2017-08-02T14:26:31.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-08-02T18:07:33.000Z (over 7 years ago)
• Last Synced: 2024-10-22T22:26:09.356Z (16 days ago)
• Language: Python
• Size: 3.91 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# GPSampler

Given a likelihood function and an array of parameters, we can construct a latin-hypercube in the parameter space from which we can build a Gaussian process to make predictions of that function.