_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-kalepy 1.4.3
Propagated dependencies: python-matplotlib@3.8.2 python-numba@0.59.1 python-numpy@1.24.4 python-scipy@1.12.0 python-six@1.16.0
Channel: guix
Location: gnu/packages/statistics.scm (gnu packages statistics)
Home page: https://github.com/lzkelley/kalepy
Licenses: GPL 3+ Expat
Synopsis: Kernel Density Estimation (KDE) and sampling
Description:

This package performs KDE operations on multidimensional data to calculate estimated PDFs (probability distribution functions), and resample new data from those PDFs.

Total results: 1