This section will explain how we are going to create the linear regression model file using scikit-learn and also convert it into the .mlmodel file that is compatible with Core ML. We are going to use the Boston dataset for the model creation. The following is a simple Python program, which creates a simple linear regression model using scikit-learn using the Boston dataset. Then the Core ML tools convert it into the model file compatible with Core ML. Let's go through the program in detail.
First, we need to import the required packages needed for the program:
# importing required packages import numpy as np
The preceding lines import the NumPy package. NumPy is the fundamental package for ...
