Welcome to our model API! This guide provides instructions on how to interact with our deployed machine learning model to obtain predictions and recommendations.
Our model is hosted as a RESTful service and can be accessed via standard HTTP methods. Currently, the following endpoints are available:
/predict: Obtain predictions based on input features./recommend: Get top-n item recommendations for a user.
To use the API, you'll need an HTTP client to make requests. This could be a tool like curl on the command line, libraries like requests in Python, or any other HTTP client capable of making POST requests with JSON data.
To deploy the API, you need to unzip the data.zip to /data folder, and unzip the params.zip in the / folder and run app.py
And run
pip install -r requirements.txt
if you find there are any package that is not installed, pleas install it manually, e.g.
pip install <package_name>
To obtain a prediction, send a POST request with the appropriate JSON payload to the /predict endpoint.
URL: http://5000/predict
Method: POST
Payload Example:
{ "feature1": "value1", "feature2": "value2", // ... other required features }
Response Example:
{ "prediction": "predicted_value" }
To receive item recommendations, send a POST request with user details to the /recommend endpoint.
URL: http://5000/recommend
Method: POST
Payload Example:
{ "user_id": 123, // ... other user details if needed }
Response Example:
{ "recommendation": ["item1", "item2", "item3", ...] }
Here's an example of how to use curl to interact with the predict endpoint:
curl -X POST http://5000/predict
-H "Content-Type: application/json"
-d '{"feature1": "value1", "feature2": "value2"}'
If there's an issue with the request, the API will return an error message with an appropriate HTTP status code. For example:
400 Bad Request: Check if the JSON payload is correctly formatted and includes all required fields.500 Internal Server Error: An error occurred on the server. Please try again later or contact support.
For any additional help or support, please reach out to support@example.com.