Examples

Practical examples for using auto-sklearn.

Basic Examples

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

Classification

Classification

Classification
Multi-output Regression

Multi-output Regression

Multi-output Regression
Regression

Regression

Regression
Multi-label Classification

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

Interpretable models
Feature Types

Feature Types

Feature Types
Early stopping and Callbacks

Early stopping and Callbacks

Early stopping and Callbacks
Metrics

Metrics

Metrics
Classification

Classification

Classification
Text preprocessing

Text preprocessing

Text preprocessing
Model Explanation

Model Explanation

Model Explanation
Performance-over-time plot

Performance-over-time plot

Performance-over-time plot
Fit a single configuration

Fit a single configuration

Fit a single configuration
Logging and debugging

Logging and debugging

Logging and debugging
Resampling Strategies

Resampling Strategies

Resampling Strategies
Obtain run information

Obtain run information

Obtain run information
Metrics

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

Parallel Usage on a single machine
Sequential Usage

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 the command line
Random Search

Random Search

Random Search
Successive Halving

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 Data Preprocessor Component
Extending Auto-Sklearn with 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

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 Regression Component
Extending Auto-Sklearn with Classification Component

Extending Auto-Sklearn with Classification Component

Extending Auto-Sklearn with Classification Component

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