leastsqbound
Constrained multivariate least-squares optimizer for scipy
Constrained multivariate least-squares optimizer for scipy
To install this package, run one of the following:
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.
Summary
Constrained multivariate least-squares optimizer for scipy
Last Updated
Jun 28, 2013 at 00:03
License
BSD
Total Downloads
292
Version Downloads
292
Supported Platforms