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OpenML 0.15.0
  • Start
  • User Guide
  • API
  • Examples
  • Extensions
  • Contributing
  • Changelog
  • Site
    • Examples Gallery
      • Introductory Examples
      • In-Depth Examples
      • Usage in research papers

    Examples Gallery¶

    Introductory Examples¶

    Introductory examples to the usage of the OpenML python connector.

    Benchmark suites

    Benchmark suites

    Flows and Runs

    Flows and Runs

    Introduction tutorial & Setup

    Introduction tutorial & Setup

    Datasets

    Datasets

    In-Depth Examples¶

    Extended examples for the usage of the OpenML python connector.

    Obtaining Flow IDs

    Obtaining Flow IDs

    Benchmark suites

    Benchmark suites

    Logging

    Logging

    Benchmark studies

    Benchmark studies

    Plotting hyperparameter surfaces

    Plotting hyperparameter surfaces

    Tasks

    Tasks

    Datasets

    Datasets

    Run Setup

    Run Setup

    Creating and Using a Custom Flow

    Creating and Using a Custom Flow

    Fetching Evaluations

    Fetching Evaluations

    Tasks: retrieving splits

    Tasks: retrieving splits

    Flows and Runs

    Flows and Runs

    Dataset upload tutorial

    Dataset upload tutorial

    Measuring runtimes for Scikit-learn models

    Measuring runtimes for Scikit-learn models

    Usage in research papers¶

    These examples demonstrate how OpenML-Python can be used for research purposes by re-implementing its use in recent publications.

    Feurer et al. (2015)

    Feurer et al. (2015)

    Strang et al. (2018)

    Strang et al. (2018)

    Perrone et al. (2018)

    Perrone et al. (2018)

    van Rijn and Hutter (2018)

    van Rijn and Hutter (2018)

    Download all examples in Python source code: examples_python.zip

    Download all examples in Jupyter notebooks: examples_jupyter.zip

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