Examples¶
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.
Parallel Usage on a single machine
Parallel Usage: Spawning workers from the command line
Extension Examples¶
Examples of extending Auto-sklearn with custom components.
Extending Auto-Sklearn with Data Preprocessor Component
Extending Auto-Sklearn with Preprocessor Component
Restricting the number of hyperparameters for an existing component
Extending Auto-Sklearn with Regression Component
Extending Auto-Sklearn with Classification Component