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aeon 0.9.0 documentation
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Using aeon

  • Installation
  • Getting Started
  • API Reference
    • Anomaly Detection
    • Base
    • Benchmarking
    • Classification
      • histogram_intersection
      • BaseDeepClassifier
    • Clustering
    • ts File Format v1.0
    • Datasets
    • Distances
    • Exceptions
    • Forecasting
      • TransformedTargetForecaster
      • ForecastingPipeline
      • ColumnEnsembleForecaster
      • MultiplexForecaster
      • ForecastX
      • ForecastByLevel
      • Permute
      • HierarchyEnsembleForecaster
      • DirectTabularRegressionForecaster
      • DirectTimeSeriesRegressionForecaster
      • MultioutputTabularRegressionForecaster
      • MultioutputTimeSeriesRegressionForecaster
      • RecursiveTabularRegressionForecaster
      • RecursiveTimeSeriesRegressionForecaster
      • DirRecTabularRegressionForecaster
      • DirRecTimeSeriesRegressionForecaster
      • NaiveVariance
      • BaggingForecaster
      • AutoETS
      • Croston
      • StatsForecastAutoARIMA
      • VAR
      • TBATS
      • UnobservedComponents
      • UpdateEvery
      • UpdateRefitsEvery
      • DontUpdate
      • temporal_train_test_split
    • Deep learning networks
    • Performance metrics
      • count_error
      • hausdorff_error
      • prediction_ratio
    • Regression
      • BaseDeepRegressor
    • Segmentation
    • Similarity search
    • Transformations
      • FunctionTransformer
      • TabularToSeriesAdaptor
      • PandasTransformAdaptor
      • Rocket
      • MiniRocket
      • MiniRocketMultivariate
      • MiniRocketMultivariateVariable
      • MultiRocket
      • MultiRocketMultivariate
      • ScaledLogitTransformer
      • ExponentTransformer
      • SqrtTransformer
      • ClearSky
      • KalmanFilterTransformer
      • SlopeTransformer
      • TSInterpolator
      • TimeSince
      • ElbowClassSum
      • ElbowClassPairwise
      • TruncationTransformer
      • ClaSPTransformer
      • Reconciler
    • Utility functions
    • Visualisation
  • Examples

Developing aeon

  • Contributing to aeon
    • Reporting Bugs and Opening Issues
  • Developer Guide
    • Implementing Estimators
    • aeon Enhancement Proposals
    • Coding Standards
    • Continuous integration
    • Dependencies
    • Deprecation Policy
    • Developer Installation
    • Developing Documentation
    • Releases
  • Mentoring and Projects

The aeon team

  • Contributors
  • About Us
  • Governance
  • Code of Conduct

Other

  • Glossary of Common Terms
  • Estimator Overview
  • Changelog
  • Papers using Aeon
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API ReferenceΒΆ

Welcome to the API reference for aeon.

The API reference describes the public classes and functions included in aeon, split by package.

For an overview of the aeon modules see the getting started and examples page.

  • 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
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Getting Started
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