post
https://fountondev.datapoem.ai/api/v1/inference
Run inference on a trained model
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Run inference on a trained Fount model. Submit a dataset and a trained model name to generate forecasts and predictions. Use this endpoint after a training or tuning job has completed successfully.
Inference runs asynchronously and returns a job_name you can use to monitor progress and retrieve results via the task-status endpoint.
Authentication: Include your API key in the X-API-KEY request header.
Parameter descriptions:
| Parameter | Description |
|---|---|
model_name | The name of the trained model to run inference with. Must match the model_name used in the training or tuning job. |
dataset | The ID of the dataset to run inference on. This can be the same dataset used for training or a new dataset with the same column structure. Returned when you upload a file via the Upload endpoint. |
batch_size | Number of rows to process per inference batch. Higher values may speed up inference on large datasets but require more memory. Must be greater than 0. Defaults to 8. |