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 Open-Source ultimaker ultimaker (Ultimaker) / debian-backup Project
A certifiably-awesome open-source package repository curated by Ultimaker, hosted by Cloudsmith.
Note: Packages in this repository are licensed as GNU General Public License v3.0 or later (dependencies may be licensed differently).

Debian logo python3-lmfit  0.9.11+dfsg-2

One-liner (summary)

Least-Squares Minimization with Constraints (Python 3)

Description

The lmfit Python package provides a simple, flexible interface to non-linear optimization or curve fitting problems. The package extends the optimization capabilities of scipy.optimize by replacing floating pointing values for the variables to be optimized with Parameter objects. These Parameters can be fixed or varied, have upper and/or lower bounds placed on its value, or written as an algebraic expression of other Parameters.

The principal advantage of using Parameters instead of simple variables is that the objective function does not have to be rewritten to reflect every change of what is varied in the fit, or what relationships or constraints are placed on the Parameters. This means a scientific programmer can write a general model that encapsulates the phenomenon to be optimized, and then allow user of that model to change what is varied and fixed, what range of values is acceptable for Parameters, and what constraints are placed on the model. The ease with which the model can be changed also allows one to easily test the significance of certain Parameters in a fitting model.

The lmfit package allows a choice of several optimization methods available from scipy.optimize. The default, and by far best tested optimization method used is the Levenberg-Marquardt algorithm from MINPACK-1 as implemented in scipy.optimize.leastsq. This method is by far the most tested and best support method in lmfit, and much of this document assumes this algorithm is used unless explicitly stated. An important point for many scientific analysis is that this is only method that automatically estimates uncertainties and correlations between fitted variables from the covariance matrix calculated during the fit.

A few other optimization routines are also supported, including Nelder-Mead simplex downhill, Powell's method, COBYLA, Sequential Least Squares methods as implemented in scipy.optimize.fmin, and several others from scipy.optimize. In their native form, some of these methods setting allow upper or lower bounds on parameter variables, or adding constraints on fitted variables. By using Parameter objects, lmfit allows bounds and constraints for all of these methods, and makes it easy to swap between methods without hanging the objective function or set of Parameters.

Finally, because the approach derived from MINPACK-1 usin the covariance matrix to determine uncertainties is sometimes questioned (and sometimes rightly so), lmfit supports methods to do a brute force search of the confidence intervals and correlations for sets of parameters.

This is the Python 3 version of the package.

License

Unknown

Size

95.7 KB

Downloads

0

Status  Completed
Checksum (MD5) e342b753f48ed86262bd04b474118c0b
Checksum (SHA-1) 6807a97787dc0e5529a600ca521f5835609690b4
Checksum (SHA-256) aab7d3ce7e94ca6b6e7071acfce369a2139416b4045f8646878a3702689650bb
Checksum (SHA-512) c41793b062b64378c964b20fb64029db63949ceff77dd480cf6722e2db6b65e9f7…
GPG Signature
GPG Fingerprint c0a114330029b468b1146f70c334efcb2c4f9be3
Distribution debian/buster - Debian - 10 (Buster)
Storage Region  Dublin, Ireland
Type  Binary (contains binaries and binary artifacts)
Uploaded At 3 months, 1 week ago
Uploaded By alex-borro
Slug Id python3-lmfit_0911dfsg-2_alldeb-athd
Unique Id uvUtzAA2gGdn
Version (Raw) 0.9.11+dfsg-2
Version (Parsed)
  • Major: 0
  • Minor: 9
  • Patch: 11
  • Type: SemVer (Strict)
  • Metadata: dfsg-2
  extended metadata
Homepage http://lmfit.github.io/lmfit-py/
Installed Size 507.0 KB
Maintainer Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Priority optional
Section python
Source lmfit-py
pkg python3-lmfit_0.9.11+dfsg-2_all… 0
95.7 KB
md5 sha1 sha256 sha512
Package Contents (python3-lmfit_0.9.11+dfsg-2_all.deb)
Loading...

This package has 84 files/directories.

Dependencies

7

Checksum (md5)

15e09eb6c24756c74f9a9e3d53c66443

Depends
python3-asteval
Depends
python3-numpy
Depends
python3-scipy
Depends
python3-six >>1.10
Depends
python3-uncertainties >=3.0.2.github~
Depends
python3:any
Suggests
python-lmfit-doc

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To install/use python3-lmfit @ version 0.9.11+dfsg-2 ...

To install packages, you can quickly setup the repository automatically (recommended):

curl -1sLf \
  'https://dl.cloudsmith.io/public/ultimaker/debian-backup/setup.deb.sh' \
  | sudo -E bash

If you need to force a specific distribution, release/version, architecture, or component (if supported), you can also do that (e.g. if your system is compatible but not identical):

curl -1sLf \
  'https://dl.cloudsmith.io/public/ultimaker/debian-backup/setup.deb.sh' \
  | sudo -E distro=debian codename=buster arch=ARCH component=COMPONENT bash

or ... you can manually configure it yourself before installing packages:

apt-get install -y debian-keyring  # debian only
apt-get install -y debian-archive-keyring  # debian only
apt-get install -y apt-transport-https
# For Debian Stretch, Ubuntu 16.04 and later
keyring_location=/usr/share/keyrings/ultimaker-debian-backup-archive-keyring.gpg
# For Debian Jessie, Ubuntu 15.10 and earlier
keyring_location=/etc/apt/trusted.gpg.d/ultimaker-debian-backup.gpg
curl -1sLf 'https://dl.cloudsmith.io/public/ultimaker/debian-backup/gpg.C334EFCB2C4F9BE3.key' |  gpg --dearmor >> ${keyring_location}
curl -1sLf 'https://dl.cloudsmith.io/public/ultimaker/debian-backup/config.deb.txt?distro=debian&codename=buster&component=main' > /etc/apt/sources.list.d/ultimaker-debian-backup.list
sudo chmod 644 ${keyring_location}
sudo chmod 644 /etc/apt/sources.list.d/ultimaker-debian-backup.list
apt-get update
sudo apt-get install python3-lmfit=0.9.11+dfsg-2
Warning: Note that this package is for Debian 10 (Buster) / all and may only work for that configuration.
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