Add py-lmfit 0.9.5
A library for least-squares minimization and data fitting in Python, based on scipy.optimize.
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5 changed files with 104 additions and 1 deletions
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# $NetBSD: Makefile,v 1.332 2016/08/24 23:52:43 markd Exp $
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# $NetBSD: Makefile,v 1.333 2016/09/16 15:20:31 prlw1 Exp $
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COMMENT= Mathematics
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@ -248,6 +248,7 @@ SUBDIR+= py-fpconst
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SUBDIR+= py-gmpy
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SUBDIR+= py-infinity
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SUBDIR+= py-intervals
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SUBDIR+= py-lmfit
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SUBDIR+= py-mpmath
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SUBDIR+= py-munkres
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SUBDIR+= py-networkx
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math/py-lmfit/DESCR
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math/py-lmfit/DESCR
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A library for least-squares minimization and data fitting in Python.
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Built on top of scipy.optimize, lmfit provides a Parameter object
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which can be set as fixed or free, can have upper and/or lower
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bounds, or can be written in terms of algebraic constraints of
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other Parameters. The user writes a function to be minimized as a
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function of these Parameters, and the scipy.optimize methods are
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used to find the optimal values for the Parameters. The
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Levenberg-Marquardt (leastsq) is the default minimization algorithm,
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and provides estimated standard errors and correlations between
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varied Parameters. Other minimization methods, including Nelder-Mead's
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downhill simplex, Powell's method, BFGS, Sequential Least Squares,
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and others are also supported. Bounds and contraints can be placed
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on Parameters for all of these methods.
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In addition, methods for explicitly calculating confidence intervals
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are provided for exploring minmization problems where the approximation
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of estimating Parameter uncertainties from the covariance matrix
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is questionable.
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math/py-lmfit/Makefile
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math/py-lmfit/Makefile
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# $NetBSD: Makefile,v 1.1 2016/09/16 15:20:31 prlw1 Exp $
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DISTNAME= lmfit-0.9.5
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PKGNAME= ${PYPKGPREFIX}-${DISTNAME}
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CATEGORIES= math
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MASTER_SITES= ${MASTER_SITE_PYPI:=l/lmfit/}
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MAINTAINER= prlw1@cam.ac.uk
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HOMEPAGE= https://pypi.python.org/pypi/lmfit/
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COMMENT= Least-squares minimization with bounds and constraints
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LICENSE= modified-bsd
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USE_LANGUAGES= # none
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DEPENDS+= ${PYPKGPREFIX}-scipy-[0-9]*:../../math/py-scipy
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.include "../../lang/python/egg.mk"
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.include "../../mk/bsd.pkg.mk"
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math/py-lmfit/PLIST
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math/py-lmfit/PLIST
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@comment $NetBSD: PLIST,v 1.1 2016/09/16 15:20:31 prlw1 Exp $
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${PYSITELIB}/${EGG_INFODIR}/PKG-INFO
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${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt
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${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt
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${PYSITELIB}/${EGG_INFODIR}/requires.txt
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${PYSITELIB}/${EGG_INFODIR}/top_level.txt
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${PYSITELIB}/lmfit/__init__.py
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${PYSITELIB}/lmfit/__init__.pyc
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${PYSITELIB}/lmfit/__init__.pyo
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${PYSITELIB}/lmfit/_differentialevolution.pyc
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${PYSITELIB}/lmfit/_differentialevolution.pyo
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${PYSITELIB}/lmfit/_version.pyc
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${PYSITELIB}/lmfit/_version.pyo
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${PYSITELIB}/lmfit/asteval.pyc
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${PYSITELIB}/lmfit/asteval.pyo
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${PYSITELIB}/lmfit/astutils.pyc
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${PYSITELIB}/lmfit/astutils.pyo
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${PYSITELIB}/lmfit/confidence.pyc
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${PYSITELIB}/lmfit/confidence.pyo
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${PYSITELIB}/lmfit/lineshapes.pyc
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${PYSITELIB}/lmfit/lineshapes.pyo
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${PYSITELIB}/lmfit/minimizer.pyc
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${PYSITELIB}/lmfit/minimizer.pyo
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${PYSITELIB}/lmfit/model.pyc
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${PYSITELIB}/lmfit/model.pyo
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${PYSITELIB}/lmfit/models.pyc
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${PYSITELIB}/lmfit/models.pyo
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${PYSITELIB}/lmfit/ordereddict.pyc
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${PYSITELIB}/lmfit/ordereddict.pyo
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${PYSITELIB}/lmfit/parameter.pyc
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${PYSITELIB}/lmfit/parameter.pyo
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${PYSITELIB}/lmfit/printfuncs.pyc
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${PYSITELIB}/lmfit/printfuncs.pyo
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${PYSITELIB}/lmfit/_differentialevolution.py
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${PYSITELIB}/lmfit/_version.py
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${PYSITELIB}/lmfit/asteval.py
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${PYSITELIB}/lmfit/astutils.py
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${PYSITELIB}/lmfit/confidence.py
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${PYSITELIB}/lmfit/lineshapes.py
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${PYSITELIB}/lmfit/minimizer.py
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${PYSITELIB}/lmfit/model.py
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${PYSITELIB}/lmfit/models.py
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${PYSITELIB}/lmfit/ordereddict.py
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${PYSITELIB}/lmfit/parameter.py
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${PYSITELIB}/lmfit/printfuncs.py
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${PYSITELIB}/lmfit/ui/__init__.py
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${PYSITELIB}/lmfit/ui/__init__.pyc
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${PYSITELIB}/lmfit/ui/__init__.pyo
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${PYSITELIB}/lmfit/ui/basefitter.pyc
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${PYSITELIB}/lmfit/ui/basefitter.pyo
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${PYSITELIB}/lmfit/ui/ipy_fitter.pyc
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${PYSITELIB}/lmfit/ui/ipy_fitter.pyo
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${PYSITELIB}/lmfit/ui/basefitter.py
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${PYSITELIB}/lmfit/ui/ipy_fitter.py
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${PYSITELIB}/lmfit/uncertainties/__init__.py
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${PYSITELIB}/lmfit/uncertainties/__init__.pyc
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${PYSITELIB}/lmfit/uncertainties/__init__.pyo
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${PYSITELIB}/lmfit/uncertainties/umath.pyc
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${PYSITELIB}/lmfit/uncertainties/umath.pyo
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${PYSITELIB}/lmfit/uncertainties/umath.py
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math/py-lmfit/distinfo
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math/py-lmfit/distinfo
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$NetBSD: distinfo,v 1.1 2016/09/16 15:20:31 prlw1 Exp $
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SHA1 (lmfit-0.9.5.tar.gz) = e18d8f5c2fc21c327780a13e50051fcd13401ac4
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RMD160 (lmfit-0.9.5.tar.gz) = 3e9c32c8fe88987e35211e4d7ed694eff292dc7d
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SHA512 (lmfit-0.9.5.tar.gz) = 9bbc38f7837d139877d344f293c070a16b53876a982e578558690fb833724bb3373075c0c8e8829610c76aeb5d5500c629f51090e8deb5fee42762a5294ed25d
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Size (lmfit-0.9.5.tar.gz) = 1128987 bytes
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