Machine learning algorithms are used ... we have substituted the metric calculation with an arbitrary mathematical function and the set of model hyperparameters with the function parameters.

Machine learning model hyperparameters refer to values set prior to the training process that affect model training – the learning rate, the batch size, or the pool size.

Medini continues, "a neural network that takes search input and predicts from 100 million outputs, or products, will typically end up with about 2,000 parameters per product.