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https://github.com/syedalimohsinbukhari/pymultifit
A library to fit fit the data with multiple fitters.
https://github.com/syedalimohsinbukhari/pymultifit
multivariate-analysis python3 scipy statistics
Last synced: 25 days ago
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A library to fit fit the data with multiple fitters.
- Host: GitHub
- URL: https://github.com/syedalimohsinbukhari/pymultifit
- Owner: syedalimohsinbukhari
- License: mit
- Created: 2024-07-17T18:56:06.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-10-08T06:20:48.000Z (about 1 month ago)
- Last Synced: 2024-10-14T01:20:57.109Z (25 days ago)
- Topics: multivariate-analysis, python3, scipy, statistics
- Language: Python
- Homepage:
- Size: 283 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# `pyMultiFit`
- [`pyMultiFit`](#pymultifit)
- [What is `pymultifit`](#what-is-pymultifit)
- [How to install](#how-to-install)
- [Modules](#modules)A python multi-fit library for fitting the data with multiple `X` fitters.
![GitHub-licence](https://img.shields.io/github/license/syedalimohsinbukhari/pymultifit?style=for-the-badge&color=darkblue)
![GitHub top language](https://img.shields.io/github/languages/top/syedalimohsinbukhari/pymultifit?color=lightgreen&style=for-the-badge)
![GitHub contributors](https://img.shields.io/github/contributors/syedalimohsinbukhari/pymultifit?color=gold&style=for-the-badge)
![Github Issues](https://img.shields.io/github/issues/syedalimohsinbukhari/pymultifit?color=orange&style=for-the-badge)
![GitHub OPEN PRs](https://img.shields.io/github/issues-pr/syedalimohsinbukhari/pymultifit?color=darkred&style=for-the-badge)
![GitHub CLOSED PRs](https://img.shields.io/github/issues-pr-closed/syedalimohsinbukhari/pymultifit?color=darkgreen&style=for-the-badge)## What is `pymultifit`
`pymultifit` is a library made specifically to tackle one problem, **fit the data with multiple fitters**.
Fitter implementations include,
- `Gaussian` fitter,
- `SkewedNormal` fitter,
- `LogNormal` fitter,
- `Laplace` fitter, and more.Additionally, it provides capabilities to generated n-modal data as well through its `generators` module.
Along with this, the user can also generate probability distribution data using `distributions` module.## How to install
Using pip: `pip install pymultifit`
## Modules
The following modules are currently implemented in `pymultifit` library,
1. [`distributions`](https://github.com/syedalimohsinbukhari/pyMultiFit/tree/main/docs/distributions.md)
2. [`fitters`](https://github.com/syedalimohsinbukhari/pyMultiFit/tree/main/docs/fitters.md)
3. [`generators`](https://github.com/syedalimohsinbukhari/pyMultiFit/tree/main/docs/generators.md)