Provide me with explanation for given snippet, ensure the explaination is clear, concise and readable.
The given code snippet is a JavaScript async function that utilizes the Google Cloud Machine Learning Engine (ML Engine) to make predictions. Here's a breakdown of the key components:
Import and Setup: The code likely imports the necessary libraries and sets up the required configurations for using the ML Engine.
Configuration: It defines the location, project, endpointId for the ML Engine. These values are crucial for identifying the specific ML Engine instance to interact with.
Instance Conversion: It defines a function toInstance that converts an object into a format compatible with sending input data to the ML Engine.
Input Data: It creates an instance using the toInstance function, presumably representing the input data for which a prediction is required.
Prediction Request: It constructs a request object with the instances array containing the input data, the endpoint to specify the ML Engine instance to use, and parameters for any additional settings.
Prediction Call: It calls the ML Engine's predict method with the constructed request to obtain the prediction results.
Logging: Finally, it logs the prediction results to the console.
Overall, this code snippet demonstrates the process of sending input data to a Google Cloud ML Engine to obtain predictions and logs the results.