Metadata-Version: 2.1
Name: stpredict
Version: 0.0.2
Summary: Spatio-temporal prediction package
Home-page: UNKNOWN
Author: Arash Mari Oriyad, Maryam Meghdadi, Mahdi Naderi, Arezoo Haratian, Zeinab Maleki, Pouria Ramazi
Maintainer: cndalab
Maintainer-email: cndalab.iut@gmail.com, pramazi@brocku.ca, arezo.h1371@yahoo.com
License: UNKNOWN
Project-URL: Source Code, https://github.com/network-and-Data-Science-IUT/stpredict
Project-URL: Documentation, https://stpredict.readthedocs.io/en/latest/index.html
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
License-File: LICENSE


stpredict package
=================

stpredict is designed to apply forecasting methods on spatio-temporal data to predict the values of a target variable in the future time points based on the historical values of the data features. The main stages of the modeling process are implemented in this package including:

- Data preprocessing
- Data partitioning
- Feature selection
- Model selection
- Model evaluation
- Prediction

Installation
------------

.. code-block:: console

    pip install stpredict


Acknowledgement
---------------

We would thanks Nasrin Rafiei for contribution in the development of the package.

