Skip to content

Latest commit

 

History

History
6 lines (5 loc) · 513 Bytes

README.md

File metadata and controls

6 lines (5 loc) · 513 Bytes

Gaussian_Process_Numpy

  1. This is the code for gaussian process regression, with baysian optimization scheme implemented.
  2. The adjustable kernel parameter will be tuned automatically using a gradient based optimization method.
  3. Baysian Optimization, active learning based on Gaussian Process Regression is implemented using gradient ascend on the utility function.
  4. However, further improvement could possibly be made by using Particle Swarm Optimization instead to cope with the local minimum issues.