Metadata-Version: 2.1
Name: mat-model
Version: 0.1b5
Summary: MAT-model: Model Classes for Multiple Aspect Trajectory Data Mining
Home-page: https://github.com/ttportela/mat-model
Author: Tarlis Tortelli Portela
Author-email: Tarlis Tortelli Portela <tarlis@tarlis.com.br>
Maintainer-email: Tarlis Tortelli Portela <tarlis@tarlis.com.br>
License: GPL Version 3 or superior (see LICENSE file)
Project-URL: Homepage, https://github.com/ttportela/mat-model
Project-URL: Repository, https://github.com/ttportela/mat-model
Project-URL: Documentation, https://github.com/ttportela/mat-model/blob/main/README.md
Project-URL: Download, https://pypi.org/project/mat-model/#files
Project-URL: Bug Tracker, https://github.com/ttportela/mat-model/issues
Keywords: data-science,machine-learning,data-mining,trajectory,multiple-trajectory,trajectory-classification,preprocess
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Operating System :: OS Independent
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: glob2
Requires-Dist: numpy
Requires-Dist: pandas
Provides-Extra: all-extras
Requires-Dist: geohash; extra == "all-extras"
Provides-Extra: dev
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: pytest-xdist; extra == "dev"
Requires-Dist: wheel; extra == "dev"
Provides-Extra: binder
Requires-Dist: jupyter; extra == "binder"
Provides-Extra: docs
Requires-Dist: jupyter; extra == "docs"
Requires-Dist: numpydoc; extra == "docs"

# MAT-model: Model Classes for Multiple Aspect Trajectory Data Mining \[MAT-Tools Framework\]
---

\[[Publication](#)\] \[[citation.bib](citation.bib)\] \[[GitHub](https://github.com/ttportela/mat-model)\] \[[PyPi](https://pypi.org/project/mat-model/)\]


The present package offers a tool, to support the user in the task of modeling multiple aspect trajectories. It integrates into a unique framework for multiple aspects trajectories and in general for multidimensional sequence data mining methods.

Created on Apr, 2024
Copyright (C) 2023, License GPL Version 3 or superior (see LICENSE file)

** UNDER DEVELOPMENT **


### Installation

Install directly from PyPi repository, or, download from github. (python >= 3.7 required)

```bash
    pip install mat-model
```

### Getting Started

On how to use this package, see [MAT-model-Tutorial.ipynb](https://github.com/ttportela/mat-data/blob/main/MAT-model-Tutorial.ipynb) (or the HTML [MAT-model-Tutorial.html](https://github.com/ttportela/mat-data/blob/main/MAT-model-Tutorial.html))

### Citing

If you use `mat-model` please cite the following paper (this package is fragmented from `automatize` realease):

    Portela, Tarlis Tortelli; Bogorny, Vania; Bernasconi, Anna; Renso, Chiara. AutoMATise: Multiple Aspect Trajectory Data Mining Tool Library. 2022 23rd IEEE International Conference on Mobile Data Management (MDM), 2022, pp. 282-285, doi: 10.1109/MDM55031.2022.00060.

Bibtex:
```bash
@inproceedings{Portela2022automatise,
    title={AutoMATise: Multiple Aspect Trajectory Data Mining Tool Library},
    author={Portela, Tarlis Tortelli and Bogorny, Vania and Bernasconi, Anna and Renso, Chiara},
    booktitle = {2022 23rd IEEE International Conference on Mobile Data Management (MDM)},
    volume={},
    number={},
    address = {Online},
    year={2022},
    pages = {282--285},
    doi={10.1109/MDM55031.2022.00060}
}
```

### Collaborate with us

Any contribution is welcome. This is an active project and if you would like to include your code, feel free to fork the project, open an issue and contact us.

Feel free to contribute in any form, such as scientific publications referencing this package, teaching material and workshop videos.

### Related packages

This package is part of _MAT-Tools Framework_ for Multiple Aspect Trajectory Data Mining:

- [automatize](https://github.com/ttportela/automatize): automatize for experimental evaluation of MAT classification
- [movelets](https://github.com/ttportela/movelets): movelets for MAT classification methods (based on movelets)
- [mat-tools](https://github.com/ttportela/mat-tools): mat-tools is a entrypont to find all librareis for MAT data

### Change Log

This is a package under construction, see [CHANGELOG.md](./CHANGELOG.md)
