Contents Menu Expand Light mode Dark mode Auto light/dark mode
DISCLAIMER: This is a fork of the sktime repository. Work is ongoing to change links and documentation to reflect this. Join our Slack to discuss the projects goals, ask usage questions and discuss contributions. We do not recommend using this repository in any production setting, but welcome any contributors willing to help us update the project. Links and buttons are likely to be broken in the current state.
aeon 0.3.0 documentation
Logo

Using aeon

  • Installation
  • Getting Started
  • User Guide
  • API Reference
    • Base
      • BaseObject
      • BaseEstimator
    • Forecasting
      • BaseForecaster
      • ForecastingHorizon
      • make_pipeline
      • TransformedTargetForecaster
      • ForecastingPipeline
      • ColumnEnsembleForecaster
      • MultiplexForecaster
      • ForecastX
      • ForecastByLevel
      • Permute
      • HierarchyEnsembleForecaster
      • make_reduction
      • DirectTabularRegressionForecaster
      • DirectTimeSeriesRegressionForecaster
      • MultioutputTabularRegressionForecaster
      • MultioutputTimeSeriesRegressionForecaster
      • RecursiveTabularRegressionForecaster
      • RecursiveTimeSeriesRegressionForecaster
      • DirRecTabularRegressionForecaster
      • DirRecTimeSeriesRegressionForecaster
      • NaiveForecaster
      • SquaringResiduals
      • NaiveVariance
      • ConformalIntervals
      • BaggingForecaster
      • TrendForecaster
      • PolynomialTrendForecaster
      • STLForecaster
      • ExponentialSmoothing
      • AutoETS
      • ThetaForecaster
      • Croston
      • AutoARIMA
      • ARIMA
      • StatsForecastAutoARIMA
      • SARIMAX
      • VAR
      • VARMAX
      • BATS
      • TBATS
      • Prophet
      • UnobservedComponents
      • DynamicFactor
      • EnsembleForecaster
      • AutoEnsembleForecaster
      • StackingForecaster
      • ReconcilerForecaster
      • OnlineEnsembleForecaster
      • NormalHedgeEnsemble
      • NNLSEnsemble
      • UpdateEvery
      • UpdateRefitsEvery
      • DontUpdate
      • ForecastingGridSearchCV
      • ForecastingRandomizedSearchCV
      • evaluate
      • CutoffSplitter
      • SingleWindowSplitter
      • SlidingWindowSplitter
      • ExpandingWindowSplitter
      • temporal_train_test_split
    • Time series transformations
      • TransformerPipeline
      • FeatureUnion
      • ColumnwiseTransformer
      • FitInTransform
      • MultiplexTransformer
      • OptionalPassthrough
      • InvertTransform
      • Id
      • YtoX
      • ColumnTransformer
      • FunctionTransformer
      • Tabularizer
      • TimeBinner
      • TabularToSeriesAdaptor
      • PandasTransformAdaptor
      • SummaryTransformer
      • WindowSummarizer
      • DerivativeSlopeTransformer
      • PlateauFinder
      • RandomIntervalFeatureExtractor
      • FittedParamExtractor
      • ShapeletTransform
      • RandomShapeletTransform
      • RandomDilatedShapeletTransform
      • Rocket
      • MiniRocket
      • MiniRocketMultivariate
      • MiniRocketMultivariateVariable
      • DWTTransformer
      • MatrixProfile
      • PAA
      • SFA
      • SAX
      • SignatureTransformer
      • TSFreshRelevantFeatureExtractor
      • TSFreshFeatureExtractor
      • Catch22
      • Lag
      • BoxCoxTransformer
      • LogTransformer
      • ScaledLogitTransformer
      • CosineTransformer
      • ExponentTransformer
      • SqrtTransformer
      • Detrender
      • Deseasonalizer
      • ConditionalDeseasonalizer
      • STLTransformer
      • ClearSky
      • BKFilter
      • Filter
      • KalmanFilterTransformer
      • ThetaLinesTransformer
      • Differencer
      • SlopeTransformer
      • TimeBinAggregate
      • TSInterpolator
      • IntervalSegmenter
      • RandomIntervalSegmenter
      • Imputer
      • DateTimeFeatures
      • TimeSince
      • FourierFeatures
      • AutoCorrelationTransformer
      • PartialAutoCorrelationTransformer
      • MatrixProfileTransformer
      • HOG1DTransformer
      • ColumnConcatenator
      • InvertAugmenter
      • RandomSamplesAugmenter
      • ReverseAugmenter
      • WhiteNoiseAugmenter
      • FeatureSelection
      • ElbowClassSum
      • ElbowClassPairwise
      • ColumnSelect
      • IndexSubset
      • PaddingTransformer
      • TruncationTransformer
      • PCATransformer
      • STLBootstrapTransformer
      • MovingBlockBootstrapTransformer
      • HampelFilter
      • ClaSPTransformer
      • Aggregator
      • Reconciler
    • Time series classification
      • ClassifierPipeline
      • ChannelEnsembleClassifier
      • ComposableTimeSeriesForestClassifier
      • SklearnClassifierPipeline
      • WeightedEnsembleClassifier
      • CNNClassifier
      • FCNClassifier
      • MLPClassifier
      • TapNetClassifier
      • BOSSEnsemble
      • ContractableBOSS
      • IndividualBOSS
      • IndividualTDE
      • MUSE
      • TemporalDictionaryEnsemble
      • WEASEL
      • WEASEL_V2
      • ElasticEnsemble
      • KNeighborsTimeSeriesClassifier
      • ShapeDTW
      • ProbabilityThresholdEarlyClassifier
      • TEASER
      • Catch22Classifier
      • FreshPRINCEClassifier
      • MatrixProfileClassifier
      • SignatureClassifier
      • SummaryClassifier
      • TSFreshClassifier
      • HIVECOTEV1
      • HIVECOTEV2
      • CanonicalIntervalForest
      • DrCIF
      • RandomIntervalSpectralEnsemble
      • SupervisedTimeSeriesForest
      • TimeSeriesForestClassifier
      • Arsenal
      • RocketClassifier
      • ShapeletTransformClassifier
      • ContinuousIntervalTree
      • RotationForestClassifier
      • BaseClassifier
      • DummyClassifier
      • BaseDeepClassifier
      • BaseEarlyClassifier
    • Time series regression
      • CNNRegressor
      • TapNetRegressor
      • KNeighborsTimeSeriesRegressor
      • DummyRegressor
      • TimeSeriesForestRegressor
      • RocketRegressor
      • BaseRegressor
      • BaseDeepRegressor
    • Time series clustering
      • TimeSeriesKMeans
      • TimeSeriesKMedoids
      • TimeSeriesKShapes
      • TimeSeriesKernelKMeans
      • BaseClusterer
      • TimeSeriesLloyds
    • Performance metrics
      • MeanAbsoluteScaledError
      • MedianAbsoluteScaledError
      • MeanSquaredScaledError
      • MedianSquaredScaledError
      • MeanAbsoluteError
      • MeanSquaredError
      • MedianAbsoluteError
      • MedianSquaredError
      • GeometricMeanAbsoluteError
      • GeometricMeanSquaredError
      • MeanAbsolutePercentageError
      • MedianAbsolutePercentageError
      • MeanSquaredPercentageError
      • MedianSquaredPercentageError
      • MeanRelativeAbsoluteError
      • MedianRelativeAbsoluteError
      • GeometricMeanRelativeAbsoluteError
      • GeometricMeanRelativeSquaredError
      • MeanAsymmetricError
      • MeanLinexError
      • RelativeLoss
      • make_forecasting_scorer
      • mean_absolute_scaled_error
      • median_absolute_scaled_error
      • mean_squared_scaled_error
      • median_squared_scaled_error
      • mean_absolute_error
      • mean_squared_error
      • median_absolute_error
      • median_squared_error
      • geometric_mean_absolute_error
      • geometric_mean_squared_error
      • mean_absolute_percentage_error
      • median_absolute_percentage_error
      • mean_squared_percentage_error
      • median_squared_percentage_error
      • mean_relative_absolute_error
      • median_relative_absolute_error
      • geometric_mean_relative_absolute_error
      • geometric_mean_relative_squared_error
      • mean_asymmetric_error
      • mean_linex_error
      • relative_loss
      • count_error
      • hausdorff_error
      • prediction_ratio
    • Series-as-features tools
      • PresplitFilesCV
      • SingleSplit
    • Time series annotation
      • ClaSPSegmentation
      • EAgglo
      • GaussianHMM
      • GMMHMM
      • GreedyGaussianSegmentation
      • HMM
      • InformationGainSegmentation
      • PoissonHMM
      • STRAY
      • PyODAnnotator
    • Datasets
      • load_airline
      • load_arrow_head
      • load_gunpoint
      • load_osuleaf
      • load_italy_power_demand
      • load_basic_motions
      • load_japanese_vowels
      • load_shampoo_sales
      • load_longley
      • load_lynx
      • load_acsf1
      • load_uschange
      • load_macroeconomic
      • load_solar
    • File Format Specifications
      • ts File Format v1.0
    • Deployment and MLOps
      • get_default_pip_requirements
      • get_default_conda_env
      • save_model
      • log_model
      • load_model
    • Utility functions
      • convert_to
      • convert
      • check_raise
      • check_is_mtype
      • check_is_scitype
      • mtype
      • scitype
      • mtype_to_scitype
      • scitype_to_mtype
      • make_pipeline
      • sklearn_to_aeon
      • all_estimators
      • all_tags
      • check_tag_is_valid
      • plot_series
      • plot_lags
      • plot_correlations
      • check_estimator
    • Exceptions
      • NotEvaluatedError
      • NotFittedError
      • FitFailedWarning
  • Examples

Developing aeon

  • Get Involved
    • How to contribute
    • Mentorship Program
    • Code of Conduct
    • Governance
  • Development
    • Developer Guide
      • Installation
      • Git and GitHub workflow
      • Continuous integration
      • Coding standards
      • Implementing Estimators
      • Adding a New Dataset
      • Deprecation
      • Dependencies
      • Developing Documentation
      • aeon testing framework overview
      • Releases
    • Roadmap

The aeon team

  • Contributors
  • About us

Other

  • Glossary of Common Terms
  • Changelog
  • Estimator Overview
  • Related Software
Back to top
Copyright © The aeon developers (BSD-3 License)
Made with Sphinx and @pradyunsg's Furo