Examples¶
Practical examples for using auto-sklearn.
Basic Examples¶
Examples for basic classification, 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.