Getting Familiar with the PyCaret Environment

Initializing the PyCaret environment

After we complete the EDA, we need to initialize the PyCaret environment. We can accomplish this easily with the setup() function, which prepares the data for model training. This function has numerous parameters and lets us create a complete data preprocessing pipeline. Regardless, we’ll only examine the most important functionality to keep things simple. Please check the PyCaret Classification module documentation page for more details.

After we run setup(), we get a table of useful information about its settings and parameters. Let’s see it in detail below.