https://github.com/inf0rmatiker/model-service

A service providing federated model training for spatially-segregated data.
https://github.com/inf0rmatiker/model-service

python spark

Last synced: about 1 month ago
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A service providing federated model training for spatially-segregated data.

• Host: GitHub
• URL: https://github.com/inf0rmatiker/model-service
• Owner: inf0rmatiker
• License: gpl-3.0
• Created: 2022-03-21T21:39:07.000Z (almost 3 years ago)
• Default Branch: master
• Last Pushed: 2022-04-28T05:27:33.000Z (almost 3 years ago)
• Last Synced: 2024-11-11T04:08:05.238Z (3 months ago)
• Topics: python, spark
• Language: Jupyter Notebook
• Homepage:
• Size: 7.93 MB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# model-service

_Authors_: [Caleb Carlson](https://github.com/inf0rmatiker), [Nick Fabrizio](https://github.com/NFabrizio), [Rushabh Shah](https://github.com/rushabh10shah)

## Environment Set Up

_Python is required to run this application, and Python 3.8.9+ is highly recommended._  

_Pip version 22.0.3 is required to run this application._

1. Clone this repository to your local environment.  

   _If you already have the files downloaded to your local machine, skip to the next step._

2. Fork this Github repo.

   1. In a web browser, visit https://github.com/inf0rmatiker/model-service

   2. Click the Fork button in the upper right corner of the screen

   3. In the "Where should we fork this repository?" pop up, select your username.

      Github should create a fork of the repo in your account

3. Clone your fork of the model-service repo.

   1. In the terminal on your local environment, navigate to the directory where

      you want to clone the model-service repo  

      `cd ~/path/to/your/directory`

   2. In the terminal, run:  

      `git clone [clone-url-for-your-fork]`  

      The URL should be in the format [email protected]:YourUsername/model-service.git

4. Install the required Python packages in your Python environment.

5. In the terminal on your local environment, navigate to the directory where

   the model-service files are located.

6. In the terminal run the following command to install the required packages.  

   `pip3 install -r requirements.txt`  

   _If any errors are encountered while running this command, try upgrading your pip version using `pip install --upgrade pip`_