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@mirca mirca released this 06 Dec 21:00
· 25 commits to master since this release
v0.1
c8d0c7b

oktopus includes the following:

  • parameter estimation with built-in likelihood functions (Poisson, Gaussian, Multinomial, Laplace, and Multivariate Gaussian) using Maximum Likelihood Estimators
  • parameter estimation with built-in and extern posterior distributions using Maximum A Posteriori Probability Estimators
  • support for computation of uncertainties using Fisher Information Matrix
  • L1 norm minimization with support for regularization terms
  • support local and global optimizers (wrappers around scipy and scikit-optimize)
    oktopus has been applied in PSF photometry on data from NASA's Kepler and K2 missions. Check out http://pyke.keplerscience.org

See the full documentation at: https://keplergo.github.io/oktopus/index.html

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