Execute QuickML EndpointAdmin Scope

You can use the predict() SDK method to execute your required QuickMl endpoint through code. You can pass input data to a published QuickML endpoint, and predict the outcome based on the ML model’s processing.

The input data needs to be passed as key-value pairs. The endpoint key and the input data are passed to the predict() method for execution. The endpoint_key mentioned in the example code snippet is the unique ID of the endpoint published for the ML model configured in your project.

The quickML reference used in the code snippets below is the component instance created to perform these operations.

// input data
const input_data = {
	// Enter column name and value as per your dataset
	"column_name1": "value1",
	"column_name2": "value2",
	"column_name3": "value3"
}
// execute predict method
const result = await quickML.predict("{endpoint_key}", input_data); // Replace {endpoint_key} with the endpoint key copied from the catalyst console

Example of Expected Response

The output returns the prediction of the values of the target column that is defined while creating the ML pipeline.

{
  "status": "success",
  "result": ["results....."]
}