Skip to content

Latest commit

 

History

History
69 lines (45 loc) · 1.37 KB

ReadMe.md

File metadata and controls

69 lines (45 loc) · 1.37 KB

ML as a service Api

This is ML as a service endpoint where users can upload algorightms/models and also make request for prediction on the algorithm.

Features:

  • Algorithms Algorithms

  • All the requests on the API

    ML_requests

  • Status of algorithms

    Status

  • predictions and values

    predictions

Installing packages:

using Python-Pipenv package

$ pipenv install -r requirements.txt

Then to activate env

$ pipenv shell

For pip users:

$ pip install -r requirements.txt

Running the server:

$ python manage.py runserver 

Then open url :: http://127.0.0.1:8000/api/v1 in your browser

Applying Migrations on the Project

python manage.py makemigrations
python manage.py migrate 
python manage.py runserver

You can use showmigration to list projects migration.

for running test in this

python manage.py test

Downloading the dataset:

This model predicts whether a particular user will have salary above or beloe 50k.

For more details Reaserch directory.

Note: this project is still in development and there are stil more things to add like A/B testing , more algorithms and adding more test cases as well.