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OpenML 0.12.2
  • 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¶

    Run Setup

    Run Setup¶

    Tasks

    Tasks¶

    Datasets

    Datasets¶

    Creating and Using a Custom Flow

    Creating and Using a Custom Flow¶

    Tasks: retrieving splits

    Tasks: retrieving splits¶

    Fetching Evaluations

    Fetching Evaluations¶

    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)¶

    van Rijn and Hutter (2018)

    van Rijn and Hutter (2018)¶

    Perrone et al. (2018)

    Perrone et al. (2018)¶

    Download all examples in Python source code: examples_python.zip

    Download all examples in Jupyter notebooks: examples_jupyter.zip

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