Symbolic Fitting; fitting as it should be.
Project description
Documentation
Project Goals
The goal of this project is simple: to make fitting in Python sexy and pythonic. What does pythonic fitting look like? Well, there’s a simple test. If I can give you pieces of example code and don’t have to use any additional words to explain what it does, it’s pythonic.
from symfit import parameters, variables, Fit xdata = [1.0, 2.0, 3.0, 4.0, 5.0] ydata = [2.3, 3.3, 4.1, 5.5, 6.7] yerr = [0.1, 0.1, 0.1, 0.1, 0.1] a, b = parameters('a, b') x, y = variables('x, y') model = {y: a * x + b} fit = Fit(model, x=xdata, y=ydata, sigma_y=yerr) fit_result = fit.execute()
Cool right? So now that we have done a fit, how do can we use the results?
import matplotlib.pyplot as plt y = model(x=xdata, **fit_result.params) plt.plot(xdata, y) plt.show()
Need I say more? How about I let another code example do the talking?
from symfit import parameters, Maximize, Equality, GreaterThan x, y = parameters('x, y') model = 2 * x * y + 2 * x - x**2 - 2 * y**2 constraints = [ Equality(x**3, y), GreaterThan(y, 1), ] fit = Maximize(model, constraints=constraints) fit_result = fit.execute()
“But what if I need to fit to an ODE?”
from symfit import variables, Parameter, ODEModel, Fit, D tdata = np.array([10, 26, 44, 70, 120]) adata = 10e-4 * np.array([44, 34, 27, 20, 14]) a, b, t = variables('a, b, t') k = Parameter(0.1) model_dict = { D(a, t): - k * a**2, D(b, t): k * a**2, } ode_model = ODEModel(model_dict, initial={t: 0.0, a: 54 * 10e-4, b: 0.0}) fit = Fit(ode_model, t=tdata, a=adata, b=None) fit_result = fit.execute()
For more fitting delight, check the docs at http://symfit.readthedocs.org.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
symfit-0.3.5.tar.gz
(866.9 kB
view hashes)
Built Distribution
symfit-0.3.5-py2.py3-none-any.whl
(37.8 kB
view hashes)
Close
Hashes for symfit-0.3.5-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 33bde64b1092b57550c3c136d4d2d608896f29a3d41e940d24e0ff8696e5fa00 |
|
MD5 | cb2fdb982e3e508260ca5b3b3c5ab729 |
|
BLAKE2b-256 | ea71e653cce934d1711198b29f336d31e7bdeff1c5f07bf053948203f8809cb1 |