Practical examples for using auto-sklearn.

Basic Examples

Examples for basic classification, regression, multi-output regression, and multi-label classification datasets.

Advanced Examples

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.

Search Examples

Examples of changing the search procedure of Auto-sklearn.

Extension Examples

Examples of extending Auto-sklearn with custom components.

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