Metadata-Version: 2.4
Name: likelihood
Version: 2.1.1
Summary: A package that performs the maximum likelihood algorithm.
Home-page: https://github.com/jzsmoreno/likelihood/
Author: J. A. Moreno-Guerra
Author-email: jzs.gm27@gmail.com
Maintainer: Jafet Castañeda
Maintainer-email: jafetcc17@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: black[jupyter]>=24.3.0
Requires-Dist: mypy-extensions>=1.0.0
Requires-Dist: types-openpyxl>=3.1.0.15
Requires-Dist: pydocstyle>=6.3.0
Requires-Dist: flake8>=6.0.0
Requires-Dist: isort>=5.12.0
Requires-Dist: mypy>=1.4.1
Requires-Dist: numpy<3.0.0,>=1.26.4
Requires-Dist: pydot==2.0.0
Requires-Dist: matplotlib
Requires-Dist: packaging
Requires-Dist: graphviz
Requires-Dist: seaborn
Requires-Dist: pyyaml
Requires-Dist: pandas
Requires-Dist: corner
Requires-Dist: tqdm
Provides-Extra: full
Requires-Dist: networkx; extra == "full"
Requires-Dist: pyvis; extra == "full"
Requires-Dist: tensorflow>=2.15.0; extra == "full"
Requires-Dist: keras-tuner; extra == "full"
Requires-Dist: scikit-learn; extra == "full"
Requires-Dist: torch; extra == "full"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
Dynamic: maintainer
Dynamic: maintainer-email
Dynamic: provides-extra
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

![likelihood](https://raw.githubusercontent.com/jzsmoreno/likelihood/main/likelihood.png)

![GitHub last commit](https://img.shields.io/github/last-commit/jzsmoreno/likelihood?style=for-the-badge)
![GitHub repo size](https://img.shields.io/github/repo-size/jzsmoreno/likelihood?style=for-the-badge)
![License](https://img.shields.io/github/license/jzsmoreno/likelihood?style=for-the-badge)

<!-- Project description -->
This repository contains the code to build the [likelihood package](./likelihood/) which contains tools for typical tasks in maintain machine learning models in production and the training of custom models, for more information review our [`documentation`](https://jzsmoreno.github.io/likelihood/).

## Prerequisites

Before you begin, ensure you have met the following requirements:

* You have a _Windows/Linux/Mac_ machine running [Python 3.10+](https://www.python.org/).
* You have installed the latest versions of [`pip`](https://pip.pypa.io/en/stable/installing/) and [`virtualenv`](https://virtualenv.pypa.io/en/stable/installation/) or `conda` ([Anaconda](https://www.anaconda.com/distribution/)).

## Installation

This package can be easily installed with pip:
```bash
pip install likelihood
```

## Examples

You can check the [examples](https://github.com/jzsmoreno/likelihood/tree/main/examples) folder.

More examples will be added soon.
