Getting Familiar with the PyCaret Environment

Get familiarized with the Pycaret environment setup for the anomaly detection task.

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Initializing the PyCaret environment

The setup() function initializes the PyCaret environment and creates a pipeline that prepares the data for model training and deployment. This is a powerful function with numerous data preprocessing features such as data imputation to deal with missing values, data transformation, data normalization, and many others. In this case, the default function parameters are acceptable, so we won’t make any changes. If you want to read more details about the setup() function and its numerous features, please refer to the PyCaret Anomaly Detection module documentation page.

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