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jjhelmus / packages / leastsqbound 1.0

Constrained multivariate least-squares optimizer for scipy

  • License: BSD
  • 273 total downloads
  • Last upload: 11 years and 3 months ago

Installers

pip install

Authentication Prerequisites:
TOKEN=$(anaconda auth --create --name download-token)

To install this package run one of the following:
pip install -i https://pypi.anaconda.org/t/$TOKEN/jjhelmus/simple leastsqbound

Description

leastsqbound

leastsqbound is a enhanced version of scipy's optimize.leastsq function which allows users to include min, max bounds for each fit parameter. Constraints are enforced by using an unconstrained internal parameter list which is transformed into a constrained parameter list using non-linear functions.

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