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.
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