bumps2

How To Install Bumps2 On Debian, Ubuntu And Kali?

How To Install Bumps2 On Debian, Ubuntu And Kali?

bumps2

data fitting and Bayesian uncertainty modeling for inverse problems (Python 2)

Maintainer: Debian Science Maintainers



Section: python

Install bumps2

  • Debian apt-get install python-bumps Click to copy
  • Ubuntu apt-get install python-bumps Click to copy
  • Kali Linux apt-get install python-bumps Click to copy

python-bumps

data fitting and Bayesian uncertainty modeling for inverse problems (Python 2)

Bumps is a set of routines for curve fitting and uncertainty analysis from a Bayesian perspective. In addition to traditional optimizers which search for the best minimum they can find in the search space, bumps provides uncertainty analysis which explores all viable minima and finds confidence intervals on the parameters based on uncertainty in the measured values. Bumps has been used for systems of up to 100 parameters with tight constraints on the parameters. Full uncertainty analysis requires hundreds of thousands of function evaluations, which is only feasible for cheap functions, systems with many processors, or lots of patience. Bumps includes several traditional local optimizers such as Nelder-Mead simplex, BFGS and differential evolution. Bumps uncertainty analysis uses Markov chain Monte Carlo to explore the parameter space. Although it was created for curve fitting problems, Bumps can explore any probability density function, such as those defined by PyMC. In particular, the bumps uncertainty analysis works well with correlated parameters. Bumps can be used as a library within your own applications, or as a framework for fitting, complete with a graphical user interface to manage your models. This package installs the library for Python 2.

Installation of latest bumps2 command is available for Debian, Ubuntu and Kali. You can copy the command for your OS from above and paste it into your terminal. Once you run the command it will download the 2022 latest package from the repository and install it in your computer/server.