SlimFit
SymFit's little brother
Documentation: https://jhsmit.github.io/slimfit/
This project is inspired by SymFit and is functional, to some degree, but in currently in BETA
- Free software: MIT license
Aims
- Inspiration for a potential SymFit 2.0
- Expectation-Maximization likelihood maximization
Quick Start
from sympy import symbols
from slimfit import Model, Fit, Parameter
import numpy as np
y, a, x, b = symbols('y a x b')
model = Model({y: a*x + b})
parameters = [
Parameter(a, guess=2.5),
Parameter(b, guess=1, lower_bound=0.)
]
xdata = np.linspace(0, 11, 25)
ydata = 0.5*xdata + 2.5
ydata += np.random.normal(0, scale= ydata / 10.0 + 0.2)
data = {'x': xdata, 'y': ydata}
fit = Fit(model, parameters, data)
result = fit.execute()
print(result.parameters)
>>> {'a': array(0.47572707), 'b': array(2.6199133)}
Installation
$ pip install slimfit
1 maintainer
Metadata
1 maintainer
Release files for slimfit 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| slimfit-0.1.4.tar.gz | 1.4 MB | Without provenance | Details for slimfit-0.1.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| slimfit-0.1.4-py3-none-any.whl | Python 3 | none | any | Details for slimfit-0.1.4-py3-none-any.whl |
Total release size: 1.5 MB
Release files / slimfit-0.1.4.tar.gz
| Download URL | slimfit-0.1.4.tar.gz |
|---|---|
| Size | 1.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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Release files / slimfit-0.1.4-py3-none-any.whl
| Download URL | slimfit-0.1.4-py3-none-any.whl |
|---|---|
| Size | 34.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
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Security for slimfit 0.1.4
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