​
Create a Model

POST /v0/models/{model_name}/create

Start training a new model using your uploaded data.

Path Parameters:

  • model_name (required): Name for your model

Request Body:

{
  "upload_id": "550e8400-e29b-41d4-a716-446655440000",
  "goal": "Predict customer churn based on usage patterns",
  "eval": "accuracy"  // Optional
}

Response:

{
  "model_version": "model_20231118_001"
}

​
Check Model Status

GET /v0/models/{model_name}/{model_version}/status

Check the training status of your model.

Path Parameters:

  • model_name (required): Name of the model
  • model_version (required): Version ID returned from model creation

Response:

{
  "status": "completed",  // possible values: "pending", "running", "completed", "failed"
  "result": {
    "code": "def predict(data): ...",  // Only present when status is "completed"
    "valid_metric": 0.87  // Only present when status is "completed"
  },
  "error": null  // Only present when status is "failed"
}

​
Perform Inference

POST /v0/models/{model_name}/{model_version}/infer

Use a trained model to make predictions.

Path Parameters:

  • model_name (required): Name of the model
  • model_version (required): Version of the model
Data Management