Practical examples for using auto-sklearn.
Examples for basic classification, regression, multi-output regression, and multi-label classification datasets.
Examples on customizing Auto-sklearn to ones use case by changing the metric to optimize, the train-validation split, giving feature types, using pandas dataframes as input and inspecting the results of the search procedure.
Examples of changing the search procedure of Auto-sklearn.
Examples of extending Auto-sklearn with custom components.