DeltaML - Model Buyer

Description

Repository that contains a Model Buyer participant in Federated Learning framework.

Installing

A step by step series that tell you how to get a development env running

git clone git@github.com:DeltaML/model-buyer.git
cd model-buyer/
python3 -m venv venv
source venv/bin/activate
pip install -r model_buyer/requirements.txt

Run

Using command line

    gunicorn -b "0.0.0.0:9090" --chdir model_buyer/ wsgi:app --preload

Using Pycharm

    Script Path: .../model_buyer/virtualenv/bin/gunicorn
	Parameters: -b "0.0.0.0:9090" wsgi:app --preload
	Working directory: ../model_buyer

Using Docker

    docker image build --tag deltaml/model-buyer:latest .
    docker run --rm -it -p 9090:9090 deltaml/model-buyer

Usage

Make model from federated trainer

curl -v -H "Content-Type: application/json"  --data @model_buyer/examples/model.json http://localhost:9090/models

Get make model

curl -v -H "Content-Type: application/json" -X GET "http://localhost:9090/models/<model_id>"

Get all make model

curl -v -H "Content-Type: application/json" -X GET "http://localhost:9090/models"

Generate prediction

curl -v -H "Content-Type: application/json" -X POST "http://localhost:9090/prediction" --data '{"model_id": "<MODEL_ID>"}'

Get prediction

curl -v -H "Content-Type: application/json" -X GET "http://localhost:9090/prediction/<prediction_id>"

Get all prediction

curl -v -H "Content-Type: application/json" -X GET "http://localhost:9090/prediction"

Release History

0.0.1
- Work in progress