Wine Quality Analysis with SAP HANA Integration

Overview

This repository demonstrates the integration of machine learning workflows using the hana-ml library with SAP HANA. The project is organized into two main components:

1. sap-hana-mock/: Contains code that simulates the SAP HANA environment, which allows to test and demonstrate ML workflows without needing an actual instance.
2. sap-hana-instance/: Contains the actual integration with an SAP HANA instance. It includes the necessary code to connect to SAP HANA, perform analysis, and use machine learning models with the hana-ml library. In this version, the model is trained using the Wine Quality dataset and utilizes PolynomialRegression for predictions.

For more information about the dataset, visit Wine Quality dataset on OpenML.

Setup Instructions

1. Clone the Repository

git clone https://github.com/Mahpara/sap-hana-ml.git
cd sap-hana-ml

2. Install Dependencies

Install the required libraries for both environments. Navigate to the appropriate folder and run:

pip install -r requirements.txt

3. Run the Script

Run the main.py script in the appropriate folder:

python main.py