
LMFIT . GITHUB . IO {
}
Title:
Non-Linear Least-Squares Minimization and Curve-Fitting for Python β Non-Linear Least-Squares Minimization and Curve-Fitting for Python
Description:
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Website Age:
12 years and 3 months (reg. 2013-03-08).
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Custom-built
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π Respectable Traffic: 10k - 20k visitors per month
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The income method remains a mystery to us.
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Keywords {π}
version, release, notes, models, fitting, lmfit, data, fit, parameter, model, confidence, parameters, class, intervals, function, builtin, bounds, constraints, python, optimization, values, uncertainties, examples, installation, minimize, questions, nonlinear, functions, calculating, april, support, develop, index, intro, install, github, frequently, asked, leastsquares, curvefitting, curve, problems, extends, methods, method, scipyoptimizeleastsq, standard, error, estimate, changing,
Topics {βοΈ}
models user-defined models fit multi-dimensional data frequently asked questions confidence intervals method determine confidence levels calculating confidence intervals pre-defined models high-level interface levenberg-marquardt method open source license power law models minimizer class minimizer curve fitting problems curve fitting motivation printing fit reports models module peak automatically calculate uncertainties data fitting problems iteration callback function squares fitting downloading posterior probability distribution fit complex data improved curve-fitting fitting function types spline model calculation lmfit github repository fit peak data confidence intervals parameters modeling data estimate parameter uncertainties changing fitting algorithms pypi develop natively support documentation index standard error dimensional peak 3 release notes 2 release notes 1 release notes 0 release notes curve-fitting fitting models lower bounds fit data estimate uncertainties composite model models exponential fitting algorithm fitting choosing squares minimization
Questions {β}
- Can Parameters be used for Array Indices or Discrete Values?
- How can I fit complex data?
- How can I fit multi-dimensional data?
- How can I fit multiple data sets?
- How should I cite LMFIT?
- Questions?
- What can I do?
- Whatβs the best way to ask for help or submit a bug report?
- Why are Parameter values sometimes stuck at initial values?
- Why are uncertainties in Parameters sometimes not determined?
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