Welcome to the repository for regression-optimization-code-pattern

This repository contains several example notebooks along with small sample datasets that can be used to run the Regression Optimization Service on IBM API Hub.

Requirements and Installation

1. Python 3
2. Credentials to access the API service (Please follow the instructions)
3. Clone the repository

git clone https://github.com/IBM/regression-optimization-code-pattern.git
cd regression-optimization-code-pattern/

4. Install required packages

pip install -r requirements.txt

5. Open Jupyter notebook in current directory

jupyter notebook

Notebooks

Here are the list of provided notebooks:

1. single_process/Single-Process-Regression-Optimization-Service.ipynb: Single Process Regression Optimization with sample data
2. system_wide/System-Wide-Regression-Optimization-Service.ipynb: System-wide Regression Optimization with sample data

Additional Links

1. API Service in IBM API Hub
2. API Service in IBM Learning Path