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Constrained multivariate least-squares optimizer

Project description

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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1.1

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1.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
leastsqbound-1.1.tar.gz (6.4 kB) Copy SHA256 hash SHA256 Source None Jun 26, 2015
leastsqbound-1.1.zip (7.1 kB) Copy SHA256 hash SHA256 Source None Jun 26, 2015

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