API

We have detailed documentation for luas included in this section. For getting started we recommend the tutorials section however as it may not be obvious from the documentation where to start. If you spot any bugs or think the documentation is unclear, feel free to raise an issue on GitHub here.

Primary Interface

• GP
  • GP
  • GP.calculate_stored_values
  • GP.logL
  • GP.logL_hessianable
  • GP.logP
  • GP.logP_hessianable
  • GP.sigma_clip
  • GP.plot
  • GP.autocorrelate
  • GP.laplace_approx
  • GP.laplace_approx_with_bounds
  • GP.predict
  • GP.logL_stored
  • GP.logL_hessianable_stored
  • GP.logP_stored
  • GP.logP_hessianable_stored
• LuasKernel
  • LuasKernel
  • LuasKernel.eigendecomp_no_stored_values
  • LuasKernel.eigendecomp_use_stored_values
  • LuasKernel.generate_noise
  • LuasKernel.logL
  • LuasKernel.logL_hessianable
  • LuasKernel.predict
  • LuasKernel.K
  • LuasKernel.visualise_covariance_in_data
  • LuasKernel.visualise_covariance_matrix
  • LuasKernel.K_inv_by_vec
  • LuasKernel.K_by_vec
• GeneralKernel
  • GeneralKernel
  • GeneralKernel.decomp_fn
  • GeneralKernel.generate_noise
  • GeneralKernel.logL
  • GeneralKernel.predict
  • GeneralKernel.K_inv_by_vec
  • GeneralKernel.K_by_vec

Subpackages

• PyMC Distribution
• NumPyro Distribution
• kernels
• kronecker_fns
• jax_convenience_fns
• luas.exoplanet