Forecasting package for retail using Deep Learning AI.
Project description
DeepRetail
Python package on deep learning AI and machine learning for Retail
This package is developed by the AI team at VIVES University of Applied Sciences and is used in our research on demand forecasting.
Getting started
Installation
-
Install python3.7+
-
Create a virtual env where you want to install:
$> python3 -m venv retailanalytics
-
Activate the environment
$> source retailanalytics/bin/activate
-
Install the package with pip
$> pip install DeepRetail
Use hierarchical modelling
from DeepRetail import hierarchical
# to do: explain functions
Contributing
Contribution is welcomed!
Start by reviewing the contribution guidelines. After that, take a look at a good first issue.
Disclaimer
DeepRetail
is an open-source package. We do our best to make this package robust and stable, but we do not take liability for any errors or instability.
Support
The AI team at VIVES University of Applied Sciences builds and maintains DeepRetail
to make it simple and accessible. We are using this software in our research on demand forecasting. A special thanks to Ruben Vanhecke and Filotas Theodosiou for their contribution.
Project details
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