The entire model creation and deployment is explained in details in this notebook.

It is as example for creating a classification model for production

We will walk through:

• building a Deep Neural Network that predicts labels given features (using scikit-learn and Keras)
• build a REST API that predicts labels based on the model (using Flask and gunicorn)
• deploy the model to production on Google App Engine

Requirements:

• Python 3.7
• Google Cloud Engine account
• Google Cloud SDK

Clone this repository:

git clone [email protected]:nobari/deep.git
cd deep

Install libraries:

pip install -r requirements.txt

flask run

curl -d '{"0": "Brooklyn", "1": 123, "2": -123, "3": 123, "4": 123}' -H "Content-Type: application/json" -X POST http://localhost:5000

gcloud app deploy