probfit

Distribution Fitting/Regression Library

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Maintainers

alexpearce Christoph.Deil hdembins Piti.Ongmongkolkul scikit-hep

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Homepage

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Project description

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probfit is a set of functions that helps you construct a complex fit. It’s intended to be used with iminuit. The tool includes Binned/Unbinned Likelihood estimators, 𝝌² regression, Binned 𝝌² estimator and Simultaneous fit estimator. Various functors for manipulating PDFs such as Normalization and Convolution (with caching) and various built-in functions normally used in B physics are also provided.

Strict dependencies

Python (2.7+, 3.5+)
NumPy
iminuit (<2)

Optional dependencies

matplotlib for the plotting functions

Getting started

import numpy as np
from iminuit import Minuit
from probfit import UnbinnedLH, gaussian
data = np.random.randn(10000)
unbinned_likelihood = UnbinnedLH(gaussian, data)
minuit = Minuit(unbinned_likelihood, mean=0.1, sigma=1.1)
minuit.migrad()
unbinned_likelihood.draw(minuit)

Documentation and Tutorial

Documentation
The tutorial is an IPython notebook that you can view online here. To run it locally: cd tutorial; ipython notebook –pylab=inline tutorial.ipynb.
Developing probfit: see the development page

License

The package is licensed under the MIT license (open source).

Project details

These details have been verified by PyPI

Maintainers

alexpearce Christoph.Deil hdembins Piti.Ongmongkolkul scikit-hep

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

1.2.0

Mar 11, 2021

1.1.0

Nov 6, 2018

1.0.5

Sep 14, 2013

1.0.4

Jun 4, 2013

1.0.3

Jan 25, 2013

1.0.2

Jan 6, 2013

1.0.1

Jan 2, 2013

1.0.0

Dec 27, 2012

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Hashes for probfit-1.2.0-cp27-cp27m-macosx_10_9_x86_64.whl
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SHA256	`c6207e5cfc26d974fe921216f8f70b2786565c3dcf4cb007a64c10d433501f21`
MD5	`846f910a64bebe9cb0945431bf8b1858`
BLAKE2b-256	`466ac0ab9b6a7a1692e4dc422519851c1a819a1ec747aae3333bde5f30f0957a`