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aeon 0.7.0 documentation
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Using aeon

  • Installation
  • Getting Started
  • API Reference
    • Anomaly Detection
    • Base
    • Benchmarking
    • Classification
    • Clustering
    • ts File Format v1.0
    • Datasets
    • Distances
    • Exceptions
    • Forecasting
    • Deep learning networks
    • Performance metrics
    • Regression
    • Segmentation
    • Similarity search
    • Transformations
    • Utility functions
    • Visualisation
  • Examples

Developing aeon

  • Contributing to aeon
    • Enhancement Proposals
    • Reporting bugs
    • Reviewer Guide
  • Developer Guide
    • Adding a New Dataset
    • Implementing estimators
    • Coding standards
    • Continuous integration
    • Dependencies
    • Deprecation Policy
    • Developer Installation
    • Developing Documentation
    • Git and GitHub workflow
    • Releases
    • Testing framework
  • Mentoring and Projects

The aeon team

  • Contributors
  • About Us
  • Governance
  • Code of Conduct

Other

  • Glossary of Common Terms
  • Changelog
  • Papers using Aeon
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Benchmarking#

Benchmarking.

get_available_estimators([task, ...])

Get a list of estimators avialable for a specific task.

get_estimator_results(estimators[, ...])

Look for results for given estimators for a list of datasets.

get_estimator_results_as_array(estimators[, ...])

Look for results for given estimators for a list of datasets.

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