| title | Get a Single Prediction |
|---|---|
| openapi | POST /api/projects/{projectName}/models/{modelName}/predict |
| sidebarTitle | Get a Single Prediction |
curl --request POST \
--url http://127.0.0.1:47334/api/projects/mindsdb/models/home_rentals_model/predict \
--header 'Content-Type: application/json' \
--data '{
"data": [
{
"sqft": "823",
"location": "good",
"neighborhood": "downtown",
"days_on_market": "10"
}
]
}'[
{
"__mindsdb_row_id": null,
"days_on_market": null,
"location": null,
"neighborhood": null,
"number_of_bathrooms": null,
"number_of_rooms": null,
"rental_price": 2847,
"rental_price_anomaly": null,
"rental_price_confidence": 0.99,
"rental_price_explain": "{\"predicted_value\": 2847, \"confidence\": 0.99, \"anomaly\": null, \"truth\": null, \"confidence_lower_bound\": 2730, \"confidence_upper_bound\": 2964}",
"rental_price_max": 2964,
"rental_price_min": 2730,
"rental_price_original": null,
"select_data_query": null,
"sqft": 823,
"when_data": null
}
]The REST API endpoints can be used with MindsDB running locally at http://127.0.0.1:47334/api.
Note that data sent in the request is specific to the model. For instance, the home_rentals_model has been trained on data that includes details of rental properties, and we want to predict the rental_price value for a specific property that matches data passed in the request.