Examples¶

Practical examples for using auto-sklearn.

Basic Examples¶

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

Classification — Classification¶

Multi-output Regression — Multi-output Regression¶

Regression — Regression¶

Multi-label Classification — Multi-label Classification¶

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.

Interpretable models — Interpretable models¶

Feature Types — Feature Types¶

Metrics — Metrics¶

Model Explanation — Model Explanation¶

Performance-over-time plot — Performance-over-time plot¶

Logging and debugging — Logging and debugging¶

Fit a single configuration — Fit a single configuration¶

Resampling Strategies — Resampling Strategies¶

Obtain run information — Obtain run information¶

Metrics — Metrics¶

Search Examples¶

Examples of changing the search procedure of Auto-sklearn.

Parallel Usage on a single machine — Parallel Usage on a single machine¶

Sequential Usage — Sequential Usage¶

Parallel Usage: Spawning workers from the command line — Parallel Usage: Spawning workers from the command line¶

Parallel Usage: Spawning workers from within Python — Parallel Usage: Spawning workers from within Python¶

Random Search — Random Search¶

Successive Halving — Successive Halving¶

Extension Examples¶

Examples of extending Auto-sklearn with custom components.

Extending Auto-Sklearn with Data Preprocessor Component — Extending Auto-Sklearn with Data Preprocessor Component¶

Extending Auto-Sklearn with Preprocessor Component — Extending Auto-Sklearn with Preprocessor Component¶

Restricting the number of hyperparameters for an existing component — Restricting the number of hyperparameters for an existing component¶

Extending Auto-Sklearn with Regression Component — Extending Auto-Sklearn with Regression Component¶

Extending Auto-Sklearn with Classification Component — Extending Auto-Sklearn with Classification Component¶

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