# probfit 1.0.4

Distribution Fitting/Regression Library

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 estimator, ${\chi }^{2}$ regression, Binned ${\chi }^{2}$ estimator and Simultaneous fit estimator. Various functors for manipulating PDF such as Normalization and Convolution(with caching) and various builtin functions normally used in B physics is also provided.

```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)
unbinned_likelihood.draw(minuit)
```