Interacting with a Trained Model

Once the model has been created and saved, it is time for the last step of building a comprehensive machine learning program: allowing for easy interaction with the model. This step not only allows for the reusability of the model, but also introduces efficiency to the implementation of machine learning solutions, by allowing you to perform classifications using just input data.

There are several ways to interact with a model, and the decision made between one or the other depends on the nature of the user (the individuals that will be making use of the model on a regular basis). Machine learning projects can be accessed in different ways, some of which require the use of an API, an online or offline program, or a website.

Moreover, once the channel is defined based on the preference or expertise of the users, it is important to code the connection between the final user and the model, which could be either a function or a class that deserializes...