Metadata-Version: 2.4
Name: libadalina-analytics
Version: 1.1.11.post2
Summary: A library for geoenrichment and analytics of geographic data
Author-email: Marco Casazza <d.marcocasazza@gmail.com>, Alberto Ceselli <alberto.ceselli@unimi.it>, Marco Premoli <marco.premoli@unimi.it>
License-Expression: MIT
Project-URL: Homepage, https://libadalinaanalytics-0bbfb4.gitlab.io/
Project-URL: Documentation, https://libadalinaanalytics-0bbfb4.gitlab.io/
Project-URL: Source, https://gitlab.com/adalina_unimi/libadalinaanalytics
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3.10
Requires-Python: ~=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: libadalina-core==1.3.4
Requires-Dist: highspy==1.11.0
Requires-Dist: pydantic==2.10.6
Requires-Dist: scikit-learn==1.7.0
Provides-Extra: dev
Requires-Dist: pytest==8.4.1; extra == "dev"
Requires-Dist: black; extra == "dev"
Requires-Dist: isort; extra == "dev"
Requires-Dist: sphinx; extra == "dev"
Requires-Dist: pydata-sphinx-theme; extra == "dev"
Requires-Dist: nbsphinx; extra == "dev"
Requires-Dist: sphinx-collections; extra == "dev"
Dynamic: license-file

# libadalina-analytics

## Installation

liabadalina-analytics can be installed using pip:
```
pip install libadalina-analytics
```

## Usage

You can find the documentation at [libadalina-analytics documentation](https://libadalinaanalytics-0bbfb4.gitlab.io/).

Jupiter noteebooks with examples can be found in the [libadalina-examples](https://gitlab.com/adalina_unimi/libadalina-examples) repository.

## Requirements

- Python 3.10
- Dependencies:
  - libadalina-core 1.3.4
  - highspy 1.11.0
  - pydantic 2.10.6
  - scikit-learn 1.7.0
