https://github.com/fernando24164/supervised-learning

https://github.com/fernando24164/supervised-learning

Last synced: 3 months ago
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• Host: GitHub
• URL: https://github.com/fernando24164/supervised-learning
• Owner: fernando24164
• Created: 2019-08-17T19:02:47.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2023-01-07T09:56:51.000Z (over 2 years ago)
• Last Synced: 2025-01-28T02:44:22.717Z (4 months ago)
• Language: Python
• Homepage:
• Size: 658 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 13
• Metadata Files:
  • Readme: README.md

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README

        
# Linear regression

A simple example of how to make a linear regression in scikit-learn,

train a model and create and API endpoint to predict new points

## Prepare your environment

`docker-compose up`

This will launch a container which will serve an API endpoint

`localhost:8080`

## How to launch test

Connect to container

`docker exec -it  bash`

`pytest`

## How to generate data

The script that generate mock data it is in linear_regression folder

This will generate your mockup data

`python generate_data.py`

The next script will train our linear regression and save it in data folder

`python linear_regression.py`

## Todo

- [ ] Frontend to interact with API