To allow external applications to interact with the model
To store the model
Questions & Step-by-Step Solutions
What is the role of an API in model deployment?
Step 1: Understand that a model is a trained algorithm that makes predictions based on data.
Step 2: Know that when we deploy a model, we make it available for use in real-world applications.
Step 3: Learn that an API (Application Programming Interface) is a set of rules that allows different software applications to communicate with each other.
Step 4: Realize that the API acts as a bridge between the deployed model and external applications.
Step 5: Understand that external applications can send data to the API.
Step 6: Know that the API then forwards this data to the deployed model for processing.
Step 7: Learn that the model makes predictions based on the data it receives.
Step 8: Understand that the API sends the predictions back to the external applications.
