# Models - sktime

Browse 500+ sktime models for forecasting, classification, anomaly detection, transformations, and more. Filter by task, dependencies, and search by name.

Canonical page: https://www.sktime.net/models/

## Model Catalog

595 sktime model pages are available as Markdown. Model documentation content is generated from the sktime documentation pipeline and remains English even on the German route.

- [AcorrLjungbox](https://www.sktime.net/models/acorrljungbox.md/): Param Estimator from `sktime.param_est.lag`.
- [ACSF1](https://www.sktime.net/models/acsf1.md/): Dataset (Classification) from `sktime.datasets.classification.acsf1`.
- [ADICVTransformer](https://www.sktime.net/models/adicvtransformer.md/): Transformer from `sktime.transformations.adi_cv`.
- [AggrDist](https://www.sktime.net/models/aggrdist.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.compose_tab_to_panel`.
- [Aggregator](https://www.sktime.net/models/aggregator.md/): Transformer from `sktime.transformations.hierarchical.aggregate`.
- [Airline](https://www.sktime.net/models/airline.md/): Dataset (Forecasting) from `sktime.datasets.forecasting.airline`.
- [AlignerDTW](https://www.sktime.net/models/alignerdtw.md/): Aligner from `sktime.alignment.dtw_python`.
- [AlignerDtwDtai](https://www.sktime.net/models/alignerdtwdtai.md/): Aligner from `sktime.alignment.dtaidist`.
- [AlignerDTWfromDist](https://www.sktime.net/models/alignerdtwfromdist.md/): Aligner from `sktime.alignment.dtw_python`.
- [AlignerDtwNumba](https://www.sktime.net/models/alignerdtwnumba.md/): Aligner from `sktime.alignment.dtw_numba`.
- [AlignerEditNumba](https://www.sktime.net/models/alignereditnumba.md/): Aligner from `sktime.alignment.edit_numba`.
- [AlignerLuckyDtw](https://www.sktime.net/models/alignerluckydtw.md/): Aligner from `sktime.alignment.lucky`.
- [AlignerNaive](https://www.sktime.net/models/alignernaive.md/): Aligner from `sktime.alignment.naive`.
- [ARARForecaster](https://www.sktime.net/models/ararforecaster.md/): Forecaster from `sktime.forecasting.arar`.
- [ARCH](https://www.sktime.net/models/arch.md/): Forecaster from `sktime.forecasting.arch`.
- [ARDL](https://www.sktime.net/models/ardl.md/): Forecaster from `sktime.forecasting.ardl`.
- [ARIMA](https://www.sktime.net/models/arima.md/): Forecaster from `sktime.forecasting.arima`.
- [ARLagOrderSelector](https://www.sktime.net/models/arlagorderselector.md/): Param Estimator from `sktime.param_est.lag`.
- [ArrowHead](https://www.sktime.net/models/arrowhead.md/): Dataset (Classification) from `sktime.datasets.classification.arrow_head`.
- [Arsenal](https://www.sktime.net/models/arsenal.md/): Classifier from `sktime.classification.kernel_based`.
- [AUCalibration](https://www.sktime.net/models/aucalibration.md/): Metric from `sktime.performance_metrics.forecasting.probabilistic`.
- [AutoARIMA](https://www.sktime.net/models/autoarima.md/): Forecaster from `sktime.forecasting.arima`.
- [AutoCorrelationTransformer](https://www.sktime.net/models/autocorrelationtransformer.md/): Transformer from `sktime.transformations.acf`.
- [AutoEnsembleForecaster](https://www.sktime.net/models/autoensembleforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [AutoETS](https://www.sktime.net/models/autoets.md/): Forecaster from `sktime.forecasting.ets`.
- [AutoREG](https://www.sktime.net/models/autoreg.md/): Forecaster from `sktime.forecasting.auto_reg`.
- [AutoResearchForecaster](https://www.sktime.net/models/autoresearchforecaster.md/): Forecaster from `sktime.forecasting.agentic`.
- [AutoTS](https://www.sktime.net/models/autots.md/): Forecaster from `sktime.forecasting.autots`.
- [BaggingClassifier](https://www.sktime.net/models/baggingclassifier.md/): Classifier from `sktime.classification.ensemble`.
- [BaggingForecaster](https://www.sktime.net/models/baggingforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [BakeOffCatalogue](https://www.sktime.net/models/bakeoffcatalogue.md/): Catalogue from `sktime.catalogues.classification.bakeoff`.
- [BasicMotions](https://www.sktime.net/models/basicmotions.md/): Dataset (Classification) from `sktime.datasets.classification.basic_motions`.
- [BATS](https://www.sktime.net/models/bats.md/): Forecaster from `sktime.forecasting.bats`.
- [BinarySegmentation](https://www.sktime.net/models/binarysegmentation.md/): Detector from `sktime.detection.bs`.
- [BKFilter](https://www.sktime.net/models/bkfilter.md/): Transformer from `sktime.transformations.bkfilter`.
- [Bollinger](https://www.sktime.net/models/bollinger.md/): Transformer from `sktime.transformations.bollinger`.
- [BOSSEnsemble](https://www.sktime.net/models/bossensemble.md/): Classifier from `sktime.classification.dictionary_based`.
- [BOSSVSClassifierPyts](https://www.sktime.net/models/bossvsclassifierpyts.md/): Classifier from `sktime.classification.dictionary_based`.
- [BottomUpReconciler](https://www.sktime.net/models/bottomupreconciler.md/): Transformer from `sktime.transformations.hierarchical.reconcile`.
- [BoxCoxBiasAdjustedForecaster](https://www.sktime.net/models/boxcoxbiasadjustedforecaster.md/): Forecaster from `sktime.forecasting.boxcox_biasadj`.
- [BoxCoxTransformer](https://www.sktime.net/models/boxcoxtransformer.md/): Transformer from `sktime.transformations.boxcox`.
- [BreakvarHeteroskedasticityTest](https://www.sktime.net/models/breakvarheteroskedasticitytest.md/): Param Estimator from `sktime.param_est.stationarity`.
- [CanonicalIntervalForest](https://www.sktime.net/models/canonicalintervalforest.md/): Classifier from `sktime.classification.interval_based`.
- [CAPA](https://www.sktime.net/models/capa.md/): Detector from `sktime.detection.capa`.
- [Catch22](https://www.sktime.net/models/catch22.md/): Transformer from `sktime.transformations.catch22`.
- [Catch22Classifier](https://www.sktime.net/models/catch22classifier.md/): Classifier from `sktime.classification.feature_based`.
- [Catch22Wrapper](https://www.sktime.net/models/catch22wrapper.md/): Transformer from `sktime.transformations.catch22wrapper`.
- [CFFilter](https://www.sktime.net/models/cffilter.md/): Transformer from `sktime.transformations.cffilter`.
- [Chronos2Forecaster](https://www.sktime.net/models/chronos2forecaster.md/): Forecaster from `sktime.forecasting.chronos2`.
- [ChronosForecaster](https://www.sktime.net/models/chronosforecaster.md/): Forecaster from `sktime.forecasting.chronos`.
- [CINNForecaster](https://www.sktime.net/models/cinnforecaster.md/): Forecaster from `sktime.forecasting.cinn`.
- [CircularBinarySegmentation](https://www.sktime.net/models/circularbinarysegmentation.md/): Detector from `sktime.detection.circular_binseg`.
- [ClaSPSegmentation](https://www.sktime.net/models/claspsegmentation.md/): Detector from `sktime.detection.clasp`.
- [ClaSPTransformer](https://www.sktime.net/models/clasptransformer.md/): Transformer from `sktime.transformations.clasp`.
- [ClassifierPipeline](https://www.sktime.net/models/classifierpipeline.md/): Classifier from `sktime.classification.compose`.
- [ClearSky](https://www.sktime.net/models/clearsky.md/): Transformer from `sktime.transformations.clear_sky`.
- [ClustererAsTransformer](https://www.sktime.net/models/clustererastransformer.md/): Transformer from `sktime.clustering.compose`.
- [ClustererPipeline](https://www.sktime.net/models/clustererpipeline.md/): Clusterer from `sktime.clustering.compose`.
- [ClusterSegmenter](https://www.sktime.net/models/clustersegmenter.md/): Detector from `sktime.detection.clust`.
- [CNNClassifier](https://www.sktime.net/models/cnnclassifier.md/): Classifier from `sktime.classification.deep_learning.cnn`.
- [CNNClassifierTorch](https://www.sktime.net/models/cnnclassifiertorch.md/): Classifier from `sktime.classification.deep_learning.cnn`.
- [CNNNetwork](https://www.sktime.net/models/cnnnetwork.md/): Network from `sktime.networks.cnn`.
- [CNNRegressor](https://www.sktime.net/models/cnnregressor.md/): Regressor from `sktime.regression.deep_learning.cnn`.
- [CNNRegressorTorch](https://www.sktime.net/models/cnnregressortorch.md/): Regressor from `sktime.regression.deep_learning.cnn`.
- [CNTCClassifier](https://www.sktime.net/models/cntcclassifier.md/): Classifier from `sktime.classification.deep_learning.cntc`.
- [CNTCNetwork](https://www.sktime.net/models/cntcnetwork.md/): Network from `sktime.networks.cntc`.
- [CNTCRegressor](https://www.sktime.net/models/cntcregressor.md/): Regressor from `sktime.regression.deep_learning.cntc`.
- [ColumnConcatenator](https://www.sktime.net/models/columnconcatenator.md/): Transformer from `sktime.transformations.colconcat`.
- [ColumnEnsembleClassifier](https://www.sktime.net/models/columnensembleclassifier.md/): Classifier from `sktime.classification.compose`.
- [ColumnEnsembleForecaster](https://www.sktime.net/models/columnensembleforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [ColumnEnsembleTransformer](https://www.sktime.net/models/columnensembletransformer.md/): Transformer from `sktime.transformations.compose`.
- [ColumnSelect](https://www.sktime.net/models/columnselect.md/): Transformer from `sktime.transformations.subset`.
- [ColumnwiseTransformer](https://www.sktime.net/models/columnwisetransformer.md/): Transformer from `sktime.transformations.compose`.
- [CombinedDistance](https://www.sktime.net/models/combineddistance.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.algebra`.
- [CombineTransformers](https://www.sktime.net/models/combinetransformers.md/): Transformer from `sktime.transformations.compose`.
- [ComposableTimeSeriesForestClassifier](https://www.sktime.net/models/composabletimeseriesforestclassifier.md/): Classifier from `sktime.classification.ensemble`.
- [ComposableTimeSeriesForestRegressor](https://www.sktime.net/models/composabletimeseriesforestregressor.md/): Regressor from `sktime.regression.compose`.
- [ConditionalDeseasonalizer](https://www.sktime.net/models/conditionaldeseasonalizer.md/): Transformer from `sktime.transformations.detrend`.
- [ConformalIntervals](https://www.sktime.net/models/conformalintervals.md/): Forecaster from `sktime.forecasting.conformal`.
- [ConstantPwTrafoPanel](https://www.sktime.net/models/constantpwtrafopanel.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.dummy`.
- [ConstraintViolation](https://www.sktime.net/models/constraintviolation.md/): Metric from `sktime.performance_metrics.forecasting.probabilistic`.
- [ContractableBOSS](https://www.sktime.net/models/contractableboss.md/): Classifier from `sktime.classification.dictionary_based`.
- [ConvTimeNetClassifier](https://www.sktime.net/models/convtimenetclassifier.md/): Classifier from `sktime.classification.deep_learning.convtimenet`.
- [ConvTimeNetForecaster](https://www.sktime.net/models/convtimenetforecaster.md/): Forecaster from `sktime.forecasting.convtimenet`.
- [ConvTranClassifierTorch](https://www.sktime.net/models/convtranclassifiertorch.md/): Classifier from `sktime.classification.deep_learning.convtran`.
- [ConvTranRegressorTorch](https://www.sktime.net/models/convtranregressortorch.md/): Regressor from `sktime.regression.deep_learning.convtran`.
- [CosineTransformer](https://www.sktime.net/models/cosinetransformer.md/): Transformer from `sktime.transformations.cos`.
- [CountryHolidaysTransformer](https://www.sktime.net/models/countryholidaystransformer.md/): Transformer from `sktime.transformations.holiday.country_holidays`.
- [CROPS](https://www.sktime.net/models/crops.md/): Detector from `sktime.detection.crops`.
- [Croston](https://www.sktime.net/models/croston.md/): Forecaster from `sktime.forecasting.croston`.
- [CRPS](https://www.sktime.net/models/crps.md/): Metric from `sktime.performance_metrics.forecasting.probabilistic`.
- [CtwDistTslearn](https://www.sktime.net/models/ctwdisttslearn.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.ctw`.
- [CurveFitForecaster](https://www.sktime.net/models/curvefitforecaster.md/): Forecaster from `sktime.forecasting.trend`.
- [CUSUM](https://www.sktime.net/models/cusum.md/): Interval Scorer from `sktime.detection`.
- [CutoffFhSplitter](https://www.sktime.net/models/cutofffhsplitter.md/): Splitter from `sktime.split.cutoff`.
- [CutoffSplitter](https://www.sktime.net/models/cutoffsplitter.md/): Splitter from `sktime.split.cutoff`.
- [DartsLinearRegressionModel](https://www.sktime.net/models/dartslinearregressionmodel.md/): Forecaster from `sktime.forecasting.darts`.
- [DartsRegressionModel](https://www.sktime.net/models/dartsregressionmodel.md/): Forecaster from `sktime.forecasting.darts`.
- [DartsXGBModel](https://www.sktime.net/models/dartsxgbmodel.md/): Forecaster from `sktime.forecasting.darts`.
- [DateTimeFeatures](https://www.sktime.net/models/datetimefeatures.md/): Transformer from `sktime.transformations.date`.
- [DegreeDayFeatures](https://www.sktime.net/models/degreedayfeatures.md/): Transformer from `sktime.transformations.degree_day`.
- [DerivativeSlopeTransformer](https://www.sktime.net/models/derivativeslopetransformer.md/): Transformer from `sktime.transformations.summarize`.
- [Deseasonalizer](https://www.sktime.net/models/deseasonalizer.md/): Transformer from `sktime.transformations.detrend`.
- [DetectionCount](https://www.sktime.net/models/detectioncount.md/): Metric from `sktime.performance_metrics.detection`.
- [DetectorAsTransformer](https://www.sktime.net/models/detectorastransformer.md/): Transformer from `sktime.detection.compose`.
- [DetectorPipeline](https://www.sktime.net/models/detectorpipeline.md/): Detector from `sktime.detection.compose`.
- [Detrender](https://www.sktime.net/models/detrender.md/): Transformer from `sktime.transformations.detrend`.
- [Differencer](https://www.sktime.net/models/differencer.md/): Transformer from `sktime.transformations.difference`.
- [DilationMappingTransformer](https://www.sktime.net/models/dilationmappingtransformer.md/): Transformer from `sktime.transformations.dilation_mapping`.
- [DirectedChamfer](https://www.sktime.net/models/directedchamfer.md/): Metric from `sktime.performance_metrics.detection`.
- [DirectedHausdorff](https://www.sktime.net/models/directedhausdorff.md/): Metric from `sktime.performance_metrics.detection`.
- [DirectReductionForecaster](https://www.sktime.net/models/directreductionforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [DirectTabularRegressionForecaster](https://www.sktime.net/models/directtabularregressionforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [DirectTimeSeriesRegressionForecaster](https://www.sktime.net/models/directtimeseriesregressionforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [DirRecTabularRegressionForecaster](https://www.sktime.net/models/dirrectabularregressionforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [DirRecTimeSeriesRegressionForecaster](https://www.sktime.net/models/dirrectimeseriesregressionforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [DistanceFeatures](https://www.sktime.net/models/distancefeatures.md/): Transformer from `sktime.transformations.compose_distance`.
- [DistFromAligner](https://www.sktime.net/models/distfromaligner.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.compose_from_align`.
- [DistFromKernel](https://www.sktime.net/models/distfromkernel.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.dist_to_kern`.
- [DOBIN](https://www.sktime.net/models/dobin.md/): Transformer from `sktime.transformations.dobin`.
- [DontUpdate](https://www.sktime.net/models/dontupdate.md/): Forecaster from `sktime.forecasting.stream`.
- [DoubleMLForecaster](https://www.sktime.net/models/doublemlforecaster.md/): Forecaster from `sktime.forecasting.causal`.
- [DrCIF](https://www.sktime.net/models/drcif.md/): Classifier from `sktime.classification.interval_based`.
- [DropNA](https://www.sktime.net/models/dropna.md/): Transformer from `sktime.transformations.dropna`.
- [DtwDist](https://www.sktime.net/models/dtwdist.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.dtw`.
- [DtwDistTslearn](https://www.sktime.net/models/dtwdisttslearn.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.dtw`.
- [DtwDtaidistMultiv](https://www.sktime.net/models/dtwdtaidistmultiv.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.dtw`.
- [DtwDtaidistUniv](https://www.sktime.net/models/dtwdtaidistuniv.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.dtw`.
- [DtwPythonDist](https://www.sktime.net/models/dtwpythondist.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.dtw`.
- [DummyClassificationCatalogue](https://www.sktime.net/models/dummyclassificationcatalogue.md/): Catalogue from `sktime.catalogues.classification.dummy`.
- [DummyClassifier](https://www.sktime.net/models/dummyclassifier.md/): Classifier from `sktime.classification.dummy`.
- [DummyForecastingCatalogue](https://www.sktime.net/models/dummyforecastingcatalogue.md/): Catalogue from `sktime.catalogues.forecasting.dummy`.
- [DummyGlobalForecaster](https://www.sktime.net/models/dummyglobalforecaster.md/): Forecaster from `sktime.forecasting.dummy_global`.
- [DummyRegressor](https://www.sktime.net/models/dummyregressor.md/): Regressor from `sktime.regression.dummy`.
- [DummyRegularAnomalies](https://www.sktime.net/models/dummyregularanomalies.md/): Detector from `sktime.detection.dummy`.
- [DummyRegularChangePoints](https://www.sktime.net/models/dummyregularchangepoints.md/): Detector from `sktime.detection.dummy`.
- [DWTTransformer](https://www.sktime.net/models/dwttransformer.md/): Transformer from `sktime.transformations.dwt`.
- [DynamicFactor](https://www.sktime.net/models/dynamicfactor.md/): Forecaster from `sktime.forecasting.dynamic_factor`.
- [EAgglo](https://www.sktime.net/models/eagglo.md/): Transformer from `sktime.detection.eagglo`.
- [EditDist](https://www.sktime.net/models/editdist.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.edit_dist`.
- [ElasticEnsemble](https://www.sktime.net/models/elasticensemble.md/): Classifier from `sktime.classification.distance_based`.
- [ElbowClassPairwise](https://www.sktime.net/models/elbowclasspairwise.md/): Transformer from `sktime.transformations.channel_selection`.
- [ElbowClassSum](https://www.sktime.net/models/elbowclasssum.md/): Transformer from `sktime.transformations.channel_selection`.
- [EmpiricalCoverage](https://www.sktime.net/models/empiricalcoverage.md/): Metric from `sktime.performance_metrics.forecasting.probabilistic`.
- [EmpiricalDistributionCost](https://www.sktime.net/models/empiricaldistributioncost.md/): Interval Scorer from `sktime.detection.costs`.
- [EnbPIForecaster](https://www.sktime.net/models/enbpiforecaster.md/): Forecaster from `sktime.forecasting.enbpi`.
- [EnsembleForecaster](https://www.sktime.net/models/ensembleforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [ESRNNForecaster](https://www.sktime.net/models/esrnnforecaster.md/): Forecaster from `sktime.forecasting.es_rnn`.
- [ExpandingCutoffSplitter](https://www.sktime.net/models/expandingcutoffsplitter.md/): Splitter from `sktime.split.expandingcutoff`.
- [ExpandingGreedySplitter](https://www.sktime.net/models/expandinggreedysplitter.md/): Splitter from `sktime.split.expandinggreedy`.
- [ExpandingSlidingWindowSplitter](https://www.sktime.net/models/expandingslidingwindowsplitter.md/): Splitter from `sktime.split.expandingslidingwindow`.
- [ExpandingWindowSplitter](https://www.sktime.net/models/expandingwindowsplitter.md/): Splitter from `sktime.split.expandingwindow`.
- [ExponentialSmoothing](https://www.sktime.net/models/exponentialsmoothing.md/): Forecaster from `sktime.forecasting.exp_smoothing`.
- [ExponentTransformer](https://www.sktime.net/models/exponenttransformer.md/): Transformer from `sktime.transformations.exponent`.
- [FABBA](https://www.sktime.net/models/fabba.md/): Transformer from `sktime.transformations.fabba`.
- [FalconTSTForecaster](https://www.sktime.net/models/falcontstforecaster.md/): Forecaster from `sktime.forecasting.falcon_tst`.
- [FallbackForecaster](https://www.sktime.net/models/fallbackforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [FCNClassifier](https://www.sktime.net/models/fcnclassifier.md/): Classifier from `sktime.classification.deep_learning.fcn`.
- [FCNNetwork](https://www.sktime.net/models/fcnnetwork.md/): Network from `sktime.networks.fcn`.
- [FCNRegressor](https://www.sktime.net/models/fcnregressor.md/): Regressor from `sktime.regression.deep_learning.fcn`.
- [FeatureSelection](https://www.sktime.net/models/featureselection.md/): Transformer from `sktime.transformations.feature_selection`.
- [FeatureUnion](https://www.sktime.net/models/featureunion.md/): Transformer from `sktime.transformations.compose`.
- [FhPlexForecaster](https://www.sktime.net/models/fhplexforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [Filter](https://www.sktime.net/models/filter.md/): Transformer from `sktime.transformations.filter`.
- [FinancialHolidaysTransformer](https://www.sktime.net/models/financialholidaystransformer.md/): Transformer from `sktime.transformations.holiday.financial_holidays`.
- [FitInTransform](https://www.sktime.net/models/fitintransform.md/): Transformer from `sktime.transformations.compose`.
- [FittedParamExtractor](https://www.sktime.net/models/fittedparamextractor.md/): Transformer from `sktime.transformations.summarize`.
- [FixedParams](https://www.sktime.net/models/fixedparams.md/): Param Estimator from `sktime.param_est.fixed`.
- [FlatDist](https://www.sktime.net/models/flatdist.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.compose_tab_to_panel`.
- [FlowStateForecaster](https://www.sktime.net/models/flowstateforecaster.md/): Forecaster from `sktime.forecasting.flowstate`.
- [ForecastByLevel](https://www.sktime.net/models/forecastbylevel.md/): Forecaster from `sktime.forecasting.compose`.
- [ForecastingData](https://www.sktime.net/models/forecastingdata.md/): Dataset (Forecasting) from `sktime.datasets.forecasting.monash`.
- [ForecastingGridSearchCV](https://www.sktime.net/models/forecastinggridsearchcv.md/): Forecaster from `sktime.forecasting.model_selection`.
- [ForecastingHorizonSplitter](https://www.sktime.net/models/forecastinghorizonsplitter.md/): Splitter from `sktime.split.fh`.
- [ForecastingOptCV](https://www.sktime.net/models/forecastingoptcv.md/): Forecaster from `sktime.forecasting.model_selection`.
- [ForecastingOptunaSearchCV](https://www.sktime.net/models/forecastingoptunasearchcv.md/): Forecaster from `sktime.forecasting.model_selection`.
- [ForecastingPipeline](https://www.sktime.net/models/forecastingpipeline.md/): Forecaster from `sktime.forecasting.compose`.
- [ForecastingRandomizedSearchCV](https://www.sktime.net/models/forecastingrandomizedsearchcv.md/): Forecaster from `sktime.forecasting.model_selection`.
- [ForecastingSkoptSearchCV](https://www.sktime.net/models/forecastingskoptsearchcv.md/): Forecaster from `sktime.forecasting.model_selection`.
- [ForecastKnownValues](https://www.sktime.net/models/forecastknownvalues.md/): Forecaster from `sktime.forecasting.dummy`.
- [ForecastX](https://www.sktime.net/models/forecastx.md/): Forecaster from `sktime.forecasting.compose`.
- [FourierFeatures](https://www.sktime.net/models/fourierfeatures.md/): Transformer from `sktime.transformations.fourier`.
- [FourierTransform](https://www.sktime.net/models/fouriertransform.md/): Transformer from `sktime.transformations.fourier`.
- [FreshPRINCE](https://www.sktime.net/models/freshprince.md/): Classifier from `sktime.classification.feature_based`.
- [FunctionParamFitter](https://www.sktime.net/models/functionparamfitter.md/): Param Estimator from `sktime.param_est.compose`.
- [FunctionTransformer](https://www.sktime.net/models/functiontransformer.md/): Transformer from `sktime.transformations.func_transform`.
- [GAKernel](https://www.sktime.net/models/gakernel.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.gak`.
- [GaussianCost](https://www.sktime.net/models/gaussiancost.md/): Interval Scorer from `sktime.detection.costs`.
- [GaussianHMM](https://www.sktime.net/models/gaussianhmm.md/): Detector from `sktime.detection.hmm_learn.gaussian`.
- [GeometricMeanAbsoluteError](https://www.sktime.net/models/geometricmeanabsoluteerror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [GeometricMeanRelativeAbsoluteError](https://www.sktime.net/models/geometricmeanrelativeabsoluteerror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [GeometricMeanRelativeSquaredError](https://www.sktime.net/models/geometricmeanrelativesquarederror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [GeometricMeanSquaredError](https://www.sktime.net/models/geometricmeansquarederror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [GMMHMM](https://www.sktime.net/models/gmmhmm.md/): Detector from `sktime.detection.hmm_learn.gmm`.
- [GreedyGaussianSegmentation](https://www.sktime.net/models/greedygaussiansegmentation.md/): Detector from `sktime.detection.ggs`.
- [GreykiteForecaster](https://www.sktime.net/models/greykiteforecaster.md/): Forecaster from `sktime.forecasting.greykite`.
- [GroupbyCategoryForecaster](https://www.sktime.net/models/groupbycategoryforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [GRUClassifier](https://www.sktime.net/models/gruclassifier.md/): Classifier from `sktime.classification.deep_learning.gru`.
- [GRUFCNNClassifier](https://www.sktime.net/models/grufcnnclassifier.md/): Classifier from `sktime.classification.deep_learning.gru`.
- [GunPoint](https://www.sktime.net/models/gunpoint.md/): Dataset (Classification) from `sktime.datasets.classification.gunpoint`.
- [HampelDetector](https://www.sktime.net/models/hampeldetector.md/): Detector from `sktime.detection.hampel`.
- [HampelFilter](https://www.sktime.net/models/hampelfilter.md/): Transformer from `sktime.transformations.outlier_detection`.
- [HCrystalBallAdapter](https://www.sktime.net/models/hcrystalballadapter.md/): Forecaster from `sktime.forecasting.adapters`.
- [HFTransformersForecaster](https://www.sktime.net/models/hftransformersforecaster.md/): Forecaster from `sktime.forecasting.hf_transformers`.
- [Hidalgo](https://www.sktime.net/models/hidalgo.md/): Transformer from `sktime.transformations.hidalgo`.
- [HierarchicalProphet](https://www.sktime.net/models/hierarchicalprophet.md/): Forecaster from `sktime.forecasting.prophetverse`.
- [HierarchicalSalesToydata](https://www.sktime.net/models/hierarchicalsalestoydata.md/): Dataset (Forecasting) from `sktime.datasets.forecasting.hierarchical_sales_toydata`.
- [HierarchyEnsembleForecaster](https://www.sktime.net/models/hierarchyensembleforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [HIVECOTEV1](https://www.sktime.net/models/hivecotev1.md/): Classifier from `sktime.classification.hybrid`.
- [HIVECOTEV2](https://www.sktime.net/models/hivecotev2.md/): Classifier from `sktime.classification.hybrid`.
- [HMM](https://www.sktime.net/models/hmm.md/): Detector from `sktime.detection.hmm`.
- [HOG1DTransformer](https://www.sktime.net/models/hog1dtransformer.md/): Transformer from `sktime.transformations.hog1d`.
- [HolidayFeatures](https://www.sktime.net/models/holidayfeatures.md/): Transformer from `sktime.transformations.holiday`.
- [HPFilter](https://www.sktime.net/models/hpfilter.md/): Transformer from `sktime.transformations.hpfilter`.
- [HurstExponentTransformer](https://www.sktime.net/models/hurstexponenttransformer.md/): Transformer from `sktime.transformations.hurst`.
- [Id](https://www.sktime.net/models/id.md/): Transformer from `sktime.transformations.compose`.
- [IgnoreX](https://www.sktime.net/models/ignorex.md/): Forecaster from `sktime.forecasting.compose`.
- [ImpulseResponseFunction](https://www.sktime.net/models/impulseresponsefunction.md/): Param Estimator from `sktime.param_est.impulse`.
- [Imputer](https://www.sktime.net/models/imputer.md/): Transformer from `sktime.transformations.impute`.
- [InceptionTimeClassifier](https://www.sktime.net/models/inceptiontimeclassifier.md/): Classifier from `sktime.classification.deep_learning.inceptiontime`.
- [InceptionTimeClassifierTorch](https://www.sktime.net/models/inceptiontimeclassifiertorch.md/): Classifier from `sktime.classification.deep_learning.inceptiontime`.
- [InceptionTimeNetwork](https://www.sktime.net/models/inceptiontimenetwork.md/): Network from `sktime.networks.inceptiontime`.
- [InceptionTimeRegressor](https://www.sktime.net/models/inceptiontimeregressor.md/): Regressor from `sktime.regression.deep_learning.inceptiontime`.
- [InceptionTimeRegressorTorch](https://www.sktime.net/models/inceptiontimeregressortorch.md/): Regressor from `sktime.regression.deep_learning.inceptiontime`.
- [IndepDist](https://www.sktime.net/models/indepdist.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.indep`.
- [IndexSubset](https://www.sktime.net/models/indexsubset.md/): Transformer from `sktime.transformations.subset`.
- [IndividualBOSS](https://www.sktime.net/models/individualboss.md/): Classifier from `sktime.classification.dictionary_based`.
- [IndividualTDE](https://www.sktime.net/models/individualtde.md/): Classifier from `sktime.classification.dictionary_based`.
- [InformationGainSegmentation](https://www.sktime.net/models/informationgainsegmentation.md/): Object from `sktime.detection.igts`.
- [InstanceSplitter](https://www.sktime.net/models/instancesplitter.md/): Splitter from `sktime.split.instance`.
- [IntervalSegmenter](https://www.sktime.net/models/intervalsegmenter.md/): Transformer from `sktime.transformations.segment`.
- [IntervalWidth](https://www.sktime.net/models/intervalwidth.md/): Metric from `sktime.performance_metrics.forecasting.probabilistic`.
- [InvertAugmenter](https://www.sktime.net/models/invertaugmenter.md/): Transformer from `sktime.transformations.augmenter`.
- [InvertTransform](https://www.sktime.net/models/inverttransform.md/): Transformer from `sktime.transformations.compose`.
- [ItalyPowerDemand](https://www.sktime.net/models/italypowerdemand.md/): Dataset (Classification) from `sktime.datasets.classification.italy_power_demand`.
- [IxToX](https://www.sktime.net/models/ixtox.md/): Transformer from `sktime.transformations.compose`.
- [JapaneseVowels](https://www.sktime.net/models/japanesevowels.md/): Dataset (Classification) from `sktime.datasets.classification.japanese_vowels`.
- [JarqueBera](https://www.sktime.net/models/jarquebera.md/): Param Estimator from `sktime.param_est.residuals`.
- [JohansenCointegration](https://www.sktime.net/models/johansencointegration.md/): Param Estimator from `sktime.param_est.cointegration`.
- [KalmanFilterTransformerFP](https://www.sktime.net/models/kalmanfiltertransformerfp.md/): Transformer from `sktime.transformations.kalman_filter`.
- [KalmanFilterTransformerPK](https://www.sktime.net/models/kalmanfiltertransformerpk.md/): Transformer from `sktime.transformations.kalman_filter`.
- [KalmanFilterTransformerSIMD](https://www.sktime.net/models/kalmanfiltertransformersimd.md/): Transformer from `sktime.transformations.kalman_filter`.
- [KernelFromDist](https://www.sktime.net/models/kernelfromdist.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.dist_to_kern`.
- [KinematicFeatures](https://www.sktime.net/models/kinematicfeatures.md/): Transformer from `sktime.transformations.kinematic`.
- [KNeighborsTimeSeriesClassifier](https://www.sktime.net/models/kneighborstimeseriesclassifier.md/): Classifier from `sktime.classification.distance_based`.
- [KNeighborsTimeSeriesClassifierPyts](https://www.sktime.net/models/kneighborstimeseriesclassifierpyts.md/): Classifier from `sktime.classification.distance_based`.
- [KNeighborsTimeSeriesClassifierTslearn](https://www.sktime.net/models/kneighborstimeseriesclassifiertslearn.md/): Classifier from `sktime.classification.distance_based`.
- [KNeighborsTimeSeriesRegressor](https://www.sktime.net/models/kneighborstimeseriesregressor.md/): Regressor from `sktime.regression.distance_based`.
- [KronosForecaster](https://www.sktime.net/models/kronosforecaster.md/): Forecaster from `sktime.forecasting.kronos`.
- [L1Cost](https://www.sktime.net/models/l1cost.md/): Interval Scorer from `sktime.detection.costs`.
- [L2Cost](https://www.sktime.net/models/l2cost.md/): Interval Scorer from `sktime.detection.costs`.
- [L2Saving](https://www.sktime.net/models/l2saving.md/): Interval Scorer from `sktime.detection`.
- [Lag](https://www.sktime.net/models/lag.md/): Transformer from `sktime.transformations.lag`.
- [LagLlamaForecaster](https://www.sktime.net/models/lagllamaforecaster.md/): Forecaster from `sktime.forecasting.lagllama`.
- [LaplaceCost](https://www.sktime.net/models/laplacecost.md/): Interval Scorer from `sktime.detection.costs`.
- [LcssTslearn](https://www.sktime.net/models/lcsstslearn.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.lcss`.
- [LinearRegressionCost](https://www.sktime.net/models/linearregressioncost.md/): Interval Scorer from `sktime.detection.costs`.
- [LinearTrendCost](https://www.sktime.net/models/lineartrendcost.md/): Interval Scorer from `sktime.detection.costs`.
- [Logger](https://www.sktime.net/models/logger.md/): Transformer from `sktime.transformations.compose`.
- [LogLoss](https://www.sktime.net/models/logloss.md/): Metric from `sktime.performance_metrics.forecasting.probabilistic`.
- [LogTransformer](https://www.sktime.net/models/logtransformer.md/): Transformer from `sktime.transformations.boxcox`.
- [Longley](https://www.sktime.net/models/longley.md/): Dataset (Forecasting) from `sktime.datasets.forecasting.longley`.
- [LSTMFCNClassifier](https://www.sktime.net/models/lstmfcnclassifier.md/): Classifier from `sktime.classification.deep_learning.lstmfcn`.
- [LSTMFCNClassifierTorch](https://www.sktime.net/models/lstmfcnclassifiertorch.md/): Classifier from `sktime.classification.deep_learning.lstmfcn`.
- [LSTMFCNNetwork](https://www.sktime.net/models/lstmfcnnetwork.md/): Network from `sktime.networks.lstmfcn`.
- [LSTMFCNRegressor](https://www.sktime.net/models/lstmfcnregressor.md/): Regressor from `sktime.regression.deep_learning.lstmfcn`.
- [LSTMFCNRegressorTorch](https://www.sktime.net/models/lstmfcnregressortorch.md/): Regressor from `sktime.regression.deep_learning.lstmfcn`.
- [LTSFDLinearForecaster](https://www.sktime.net/models/ltsfdlinearforecaster.md/): Forecaster from `sktime.forecasting.ltsf`.
- [LTSFLinearForecaster](https://www.sktime.net/models/ltsflinearforecaster.md/): Forecaster from `sktime.forecasting.ltsf`.
- [LTSFNLinearForecaster](https://www.sktime.net/models/ltsfnlinearforecaster.md/): Forecaster from `sktime.forecasting.ltsf`.
- [LTSFTransformerForecaster](https://www.sktime.net/models/ltsftransformerforecaster.md/): Forecaster from `sktime.forecasting.ltsf`.
- [LuckyDtwDist](https://www.sktime.net/models/luckydtwdist.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.lucky`.
- [Lynx](https://www.sktime.net/models/lynx.md/): Dataset (Forecasting) from `sktime.datasets.forecasting.lynx`.
- [M4CompetitionCatalogueDaily](https://www.sktime.net/models/m4competitioncataloguedaily.md/): Catalogue from `sktime.catalogues.forecasting.M4`.
- [M4CompetitionCatalogueHourly](https://www.sktime.net/models/m4competitioncataloguehourly.md/): Catalogue from `sktime.catalogues.forecasting.M4`.
- [M4CompetitionCatalogueMonthly](https://www.sktime.net/models/m4competitioncataloguemonthly.md/): Catalogue from `sktime.catalogues.forecasting.M4`.
- [M4CompetitionCatalogueQuarterly](https://www.sktime.net/models/m4competitioncataloguequarterly.md/): Catalogue from `sktime.catalogues.forecasting.M4`.
- [M4CompetitionCatalogueWeekly](https://www.sktime.net/models/m4competitioncatalogueweekly.md/): Catalogue from `sktime.catalogues.forecasting.M4`.
- [M4CompetitionCatalogueYearly](https://www.sktime.net/models/m4competitioncatalogueyearly.md/): Catalogue from `sktime.catalogues.forecasting.M4`.
- [M5Dataset](https://www.sktime.net/models/m5dataset.md/): Dataset (Forecasting) from `sktime.datasets.forecasting.m5_competition`.
- [MACNNClassifier](https://www.sktime.net/models/macnnclassifier.md/): Classifier from `sktime.classification.deep_learning.macnn`.
- [MACNNClassifierTorch](https://www.sktime.net/models/macnnclassifiertorch.md/): Classifier from `sktime.classification.deep_learning.macnn`.
- [MACNNNetwork](https://www.sktime.net/models/macnnnetwork.md/): Network from `sktime.networks.macnn`.
- [MACNNRegressor](https://www.sktime.net/models/macnnregressor.md/): Regressor from `sktime.regression.deep_learning.macnn`.
- [MACNNRegressorTorch](https://www.sktime.net/models/macnnregressortorch.md/): Regressor from `sktime.regression.deep_learning.macnn`.
- [Macroeconomic](https://www.sktime.net/models/macroeconomic.md/): Dataset (Forecasting) from `sktime.datasets.forecasting.macroeconomic`.
- [MantisClassifier](https://www.sktime.net/models/mantisclassifier.md/): Classifier from `sktime.classification.foundation_models.mantis`.
- [MantisForecaster](https://www.sktime.net/models/mantisforecaster.md/): Forecaster from `sktime.forecasting.mantis`.
- [MAPAForecaster](https://www.sktime.net/models/mapaforecaster.md/): Forecaster from `sktime.forecasting.mapa`.
- [MatrixProfileClassifier](https://www.sktime.net/models/matrixprofileclassifier.md/): Classifier from `sktime.classification.feature_based`.
- [MatrixProfileFeatures](https://www.sktime.net/models/matrixprofilefeatures.md/): Transformer from `sktime.transformations.matrix_profile`.
- [MatrixProfileTransformer](https://www.sktime.net/models/matrixprofiletransformer.md/): Transformer from `sktime.transformations.matrix_profile`.
- [MCDCNNClassifier](https://www.sktime.net/models/mcdcnnclassifier.md/): Classifier from `sktime.classification.deep_learning.mcdcnn`.
- [MCDCNNClassifierTorch](https://www.sktime.net/models/mcdcnnclassifiertorch.md/): Classifier from `sktime.classification.deep_learning.mcdcnn`.
- [MCDCNNNetwork](https://www.sktime.net/models/mcdcnnnetwork.md/): Network from `sktime.networks.mcdcnn`.
- [MCDCNNRegressor](https://www.sktime.net/models/mcdcnnregressor.md/): Regressor from `sktime.regression.deep_learning.mcdcnn`.
- [MCDCNNRegressorTorch](https://www.sktime.net/models/mcdcnnregressortorch.md/): Regressor from `sktime.regression.deep_learning.mcdcnn`.
- [MeanAbsoluteError](https://www.sktime.net/models/meanabsoluteerror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MeanAbsolutePercentageError](https://www.sktime.net/models/meanabsolutepercentageerror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MeanAbsoluteScaledError](https://www.sktime.net/models/meanabsolutescalederror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MeanArctangentAbsolutePercentageError](https://www.sktime.net/models/meanarctangentabsolutepercentageerror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MeanAsymmetricError](https://www.sktime.net/models/meanasymmetricerror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MeanLinexError](https://www.sktime.net/models/meanlinexerror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MeanRelativeAbsoluteError](https://www.sktime.net/models/meanrelativeabsoluteerror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MeanSquaredError](https://www.sktime.net/models/meansquarederror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MeanSquaredErrorPercentage](https://www.sktime.net/models/meansquarederrorpercentage.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MeanSquaredLogError](https://www.sktime.net/models/meansquaredlogerror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MeanSquaredPercentageError](https://www.sktime.net/models/meansquaredpercentageerror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MeanSquaredScaledError](https://www.sktime.net/models/meansquaredscalederror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MedianAbsoluteError](https://www.sktime.net/models/medianabsoluteerror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MedianAbsolutePercentageError](https://www.sktime.net/models/medianabsolutepercentageerror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MedianAbsoluteScaledError](https://www.sktime.net/models/medianabsolutescalederror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MedianRelativeAbsoluteError](https://www.sktime.net/models/medianrelativeabsoluteerror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MedianSquaredError](https://www.sktime.net/models/mediansquarederror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MedianSquaredPercentageError](https://www.sktime.net/models/mediansquaredpercentageerror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [MedianSquaredScaledError](https://www.sktime.net/models/mediansquaredscalederror.md/): Metric from `sktime.performance_metrics.forecasting`.
- [Merger](https://www.sktime.net/models/merger.md/): Transformer from `sktime.transformations.merger`.
- [MiddleOutReconciler](https://www.sktime.net/models/middleoutreconciler.md/): Transformer from `sktime.transformations.hierarchical.reconcile`.
- [MiniRocket](https://www.sktime.net/models/minirocket.md/): Transformer from `sktime.transformations.rocket`.
- [MiniRocketMultivariate](https://www.sktime.net/models/minirocketmultivariate.md/): Transformer from `sktime.transformations.rocket`.
- [MiniRocketMultivariateVariable](https://www.sktime.net/models/minirocketmultivariatevariable.md/): Transformer from `sktime.transformations.rocket`.
- [MLPClassifier](https://www.sktime.net/models/mlpclassifier.md/): Classifier from `sktime.classification.deep_learning.mlp`.
- [MLPClassifierTorch](https://www.sktime.net/models/mlpclassifiertorch.md/): Classifier from `sktime.classification.deep_learning.mlp`.
- [MLPNetwork](https://www.sktime.net/models/mlpnetwork.md/): Network from `sktime.networks.mlp`.
- [MLPRegressor](https://www.sktime.net/models/mlpregressor.md/): Regressor from `sktime.regression.deep_learning.mlp`.
- [MLPRegressorTorch](https://www.sktime.net/models/mlpregressortorch.md/): Regressor from `sktime.regression.deep_learning.mlp`.
- [MOIRAIForecaster](https://www.sktime.net/models/moiraiforecaster.md/): Forecaster from `sktime.forecasting.moirai`.
- [MomentFMAnomalyDetector](https://www.sktime.net/models/momentfmanomalydetector.md/): Detector from `sktime.detection.momentfm`.
- [MomentFMClassifier](https://www.sktime.net/models/momentfmclassifier.md/): Classifier from `sktime.classification.foundation_models.momentfm`.
- [MomentFMForecaster](https://www.sktime.net/models/momentfmforecaster.md/): Forecaster from `sktime.forecasting.momentfm`.
- [MovingBlockBootstrapTransformer](https://www.sktime.net/models/movingblockbootstraptransformer.md/): Transformer from `sktime.transformations.bootstrap`.
- [MovingWindow](https://www.sktime.net/models/movingwindow.md/): Detector from `sktime.detection.moving_window`.
- [MrSEQL](https://www.sktime.net/models/mrseql.md/): Classifier from `sktime.classification.shapelet_based`.
- [MrSQM](https://www.sktime.net/models/mrsqm.md/): Classifier from `sktime.classification.shapelet_based`.
- [MSTL](https://www.sktime.net/models/mstl.md/): Transformer from `sktime.transformations.detrend.mstl`.
- [MultioutputTabularRegressionForecaster](https://www.sktime.net/models/multioutputtabularregressionforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [MultioutputTimeSeriesRegressionForecaster](https://www.sktime.net/models/multioutputtimeseriesregressionforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [MultiplexClassifier](https://www.sktime.net/models/multiplexclassifier.md/): Classifier from `sktime.classification.compose`.
- [MultiplexForecaster](https://www.sktime.net/models/multiplexforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [MultiplexRegressor](https://www.sktime.net/models/multiplexregressor.md/): Regressor from `sktime.regression.compose`.
- [MultiplexTransformer](https://www.sktime.net/models/multiplextransformer.md/): Transformer from `sktime.transformations.compose`.
- [MultiRocket](https://www.sktime.net/models/multirocket.md/): Transformer from `sktime.transformations.rocket`.
- [MultiRocketMultivariate](https://www.sktime.net/models/multirocketmultivariate.md/): Transformer from `sktime.transformations.rocket`.
- [MultivariateGaussianCost](https://www.sktime.net/models/multivariategaussiancost.md/): Interval Scorer from `sktime.detection.costs`.
- [MultivariateTCost](https://www.sktime.net/models/multivariatetcost.md/): Interval Scorer from `sktime.detection.costs`.
- [MUSE](https://www.sktime.net/models/muse.md/): Classifier from `sktime.classification.dictionary_based`.
- [MVTSTransformerClassifier](https://www.sktime.net/models/mvtstransformerclassifier.md/): Classifier from `sktime.classification.deep_learning.mvts_transformer`.
- [NaiveForecaster](https://www.sktime.net/models/naiveforecaster.md/): Forecaster from `sktime.forecasting.naive`.
- [NaiveVariance](https://www.sktime.net/models/naivevariance.md/): Forecaster from `sktime.forecasting.naive`.
- [NeuralForecastDilatedRNN](https://www.sktime.net/models/neuralforecastdilatedrnn.md/): Forecaster from `sktime.forecasting.neuralforecast`.
- [NeuralForecastGRU](https://www.sktime.net/models/neuralforecastgru.md/): Forecaster from `sktime.forecasting.neuralforecast`.
- [NeuralForecastLSTM](https://www.sktime.net/models/neuralforecastlstm.md/): Forecaster from `sktime.forecasting.neuralforecast`.
- [NeuralForecastRNN](https://www.sktime.net/models/neuralforecastrnn.md/): Forecaster from `sktime.forecasting.neuralforecast`.
- [NeuralForecastTCN](https://www.sktime.net/models/neuralforecasttcn.md/): Forecaster from `sktime.forecasting.neuralforecast`.
- [NeuralProphet](https://www.sktime.net/models/neuralprophet.md/): Forecaster from `sktime.forecasting.neuralprophet`.
- [NonNegativeOptimalReconciler](https://www.sktime.net/models/nonnegativeoptimalreconciler.md/): Transformer from `sktime.transformations.hierarchical.reconcile`.
- [OnlineEnsembleForecaster](https://www.sktime.net/models/onlineensembleforecaster.md/): Forecaster from `sktime.forecasting.online_learning`.
- [OptimalReconciler](https://www.sktime.net/models/optimalreconciler.md/): Transformer from `sktime.transformations.hierarchical.reconcile`.
- [OptionalPassthrough](https://www.sktime.net/models/optionalpassthrough.md/): Transformer from `sktime.transformations.compose`.
- [OSULeaf](https://www.sktime.net/models/osuleaf.md/): Dataset (Classification) from `sktime.datasets.classification.osuleaf`.
- [OverallWeightedAverage](https://www.sktime.net/models/overallweightedaverage.md/): Metric from `sktime.performance_metrics.forecasting`.
- [PAA](https://www.sktime.net/models/paa.md/): Transformer from `sktime.transformations.paa`.
- [PAAlegacy](https://www.sktime.net/models/paalegacy.md/): Transformer from `sktime.transformations.dictionary_based`.
- [PaddingTransformer](https://www.sktime.net/models/paddingtransformer.md/): Transformer from `sktime.transformations.padder`.
- [PandasTransformAdaptor](https://www.sktime.net/models/pandastransformadaptor.md/): Transformer from `sktime.transformations.adapt`.
- [ParamFitterPipeline](https://www.sktime.net/models/paramfitterpipeline.md/): Param Estimator from `sktime.param_est.compose`.
- [PartialAutoCorrelationTransformer](https://www.sktime.net/models/partialautocorrelationtransformer.md/): Transformer from `sktime.transformations.acf`.
- [PatchTSMixerForecaster](https://www.sktime.net/models/patchtsmixerforecaster.md/): Forecaster from `sktime.forecasting.patch_tsmixer`.
- [PatchTSTForecaster](https://www.sktime.net/models/patchtstforecaster.md/): Forecaster from `sktime.forecasting.patch_tst`.
- [PBS](https://www.sktime.net/models/pbs.md/): Dataset (Forecasting) from `sktime.datasets.forecasting.pbs`.
- [PCATransformer](https://www.sktime.net/models/pcatransformer.md/): Transformer from `sktime.transformations.pca`.
- [PeakTimeFeature](https://www.sktime.net/models/peaktimefeature.md/): Transformer from `sktime.transformations.peak`.
- [PELT](https://www.sktime.net/models/pelt.md/): Detector from `sktime.detection.pelt`.
- [PenalisedScore](https://www.sktime.net/models/penalisedscore.md/): Interval Scorer from `sktime.detection`.
- [Permute](https://www.sktime.net/models/permute.md/): Forecaster from `sktime.forecasting.compose`.
- [PinballLoss](https://www.sktime.net/models/pinballloss.md/): Metric from `sktime.performance_metrics.forecasting.probabilistic`.
- [Pipeline](https://www.sktime.net/models/pipeline.md/): Object from `sktime.pipeline.pipeline`.
- [PLAID](https://www.sktime.net/models/plaid.md/): Dataset (Classification) from `sktime.datasets.classification.plaid`.
- [PlateauFinder](https://www.sktime.net/models/plateaufinder.md/): Transformer from `sktime.transformations.summarize`.
- [PluginParamsForecaster](https://www.sktime.net/models/pluginparamsforecaster.md/): Forecaster from `sktime.param_est.plugin`.
- [PluginParamsTransformer](https://www.sktime.net/models/pluginparamstransformer.md/): Transformer from `sktime.param_est.plugin`.
- [PoissonCost](https://www.sktime.net/models/poissoncost.md/): Interval Scorer from `sktime.detection.costs`.
- [PoissonHMM](https://www.sktime.net/models/poissonhmm.md/): Detector from `sktime.detection.hmm_learn.poisson`.
- [PolynomialTrendForecaster](https://www.sktime.net/models/polynomialtrendforecaster.md/): Forecaster from `sktime.forecasting.trend`.
- [ProbabilityThresholdEarlyClassifier](https://www.sktime.net/models/probabilitythresholdearlyclassifier.md/): Classifier from `sktime.classification.early_classification`.
- [Prophet](https://www.sktime.net/models/prophet.md/): Forecaster from `sktime.forecasting.fbprophet`.
- [ProphetPiecewiseLinearTrendForecaster](https://www.sktime.net/models/prophetpiecewiselineartrendforecaster.md/): Forecaster from `sktime.forecasting.trend`.
- [Prophetverse](https://www.sktime.net/models/prophetverse.md/): Forecaster from `sktime.forecasting.prophetverse`.
- [ProximityForest](https://www.sktime.net/models/proximityforest.md/): Classifier from `sktime.classification.distance_based`.
- [ProximityStump](https://www.sktime.net/models/proximitystump.md/): Classifier from `sktime.classification.distance_based`.
- [ProximityTree](https://www.sktime.net/models/proximitytree.md/): Classifier from `sktime.classification.distance_based`.
- [PwTrafoPanelPipeline](https://www.sktime.net/models/pwtrafopanelpipeline.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.compose`.
- [PyKANForecaster](https://www.sktime.net/models/pykanforecaster.md/): Forecaster from `sktime.forecasting.pykan`.
- [PyODDetector](https://www.sktime.net/models/pyoddetector.md/): Detector from `sktime.detection.adapters`.
- [PytorchForecastingDeepAR](https://www.sktime.net/models/pytorchforecastingdeepar.md/): Forecaster from `sktime.forecasting.pytorchforecasting`.
- [PytorchForecastingNBeats](https://www.sktime.net/models/pytorchforecastingnbeats.md/): Forecaster from `sktime.forecasting.pytorchforecasting`.
- [PytorchForecastingNHiTS](https://www.sktime.net/models/pytorchforecastingnhits.md/): Forecaster from `sktime.forecasting.pytorchforecasting`.
- [PytorchForecastingTFT](https://www.sktime.net/models/pytorchforecastingtft.md/): Forecaster from `sktime.forecasting.pytorchforecasting`.
- [RandIndex](https://www.sktime.net/models/randindex.md/): Metric from `sktime.performance_metrics.detection`.
- [RandomIntervalClassifier](https://www.sktime.net/models/randomintervalclassifier.md/): Classifier from `sktime.classification.feature_based`.
- [RandomIntervalFeatureExtractor](https://www.sktime.net/models/randomintervalfeatureextractor.md/): Transformer from `sktime.transformations.summarize`.
- [RandomIntervals](https://www.sktime.net/models/randomintervals.md/): Transformer from `sktime.transformations.random_intervals`.
- [RandomIntervalSegmenter](https://www.sktime.net/models/randomintervalsegmenter.md/): Transformer from `sktime.transformations.segment`.
- [RandomIntervalSpectralEnsemble](https://www.sktime.net/models/randomintervalspectralensemble.md/): Classifier from `sktime.classification.interval_based`.
- [RandomSamplesAugmenter](https://www.sktime.net/models/randomsamplesaugmenter.md/): Transformer from `sktime.transformations.augmenter`.
- [RandomShapeletTransform](https://www.sktime.net/models/randomshapelettransform.md/): Transformer from `sktime.transformations.shapelet_transform`.
- [RankCost](https://www.sktime.net/models/rankcost.md/): Interval Scorer from `sktime.detection.costs`.
- [RBFForecaster](https://www.sktime.net/models/rbfforecaster.md/): Forecaster from `sktime.forecasting.rbf`.
- [RBFTransformer](https://www.sktime.net/models/rbftransformer.md/): Transformer from `sktime.transformations.basisfunction`.
- [Reconciler](https://www.sktime.net/models/reconciler.md/): Transformer from `sktime.transformations.hierarchical.reconcile`.
- [ReconcilerForecaster](https://www.sktime.net/models/reconcilerforecaster.md/): Forecaster from `sktime.forecasting.reconcile`.
- [RecursiveReductionForecaster](https://www.sktime.net/models/recursivereductionforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [RecursiveTabularRegressionForecaster](https://www.sktime.net/models/recursivetabularregressionforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [RecursiveTimeSeriesRegressionForecaster](https://www.sktime.net/models/recursivetimeseriesregressionforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [ReducerTransform](https://www.sktime.net/models/reducertransform.md/): Transformer from `sktime.transformations.lag`.
- [RegressorPipeline](https://www.sktime.net/models/regressorpipeline.md/): Regressor from `sktime.regression.compose`.
- [RelativeLoss](https://www.sktime.net/models/relativeloss.md/): Metric from `sktime.performance_metrics.forecasting`.
- [Repeat](https://www.sktime.net/models/repeat.md/): Splitter from `sktime.split.compose`.
- [RepeatBootstrapTransformer](https://www.sktime.net/models/repeatbootstraptransformer.md/): Transformer from `sktime.transformations.bootstrap`.
- [ResidualBoostingForecaster](https://www.sktime.net/models/residualboostingforecaster.md/): Forecaster from `sktime.forecasting.residual_booster`.
- [ResNetClassifier](https://www.sktime.net/models/resnetclassifier.md/): Classifier from `sktime.classification.deep_learning.resnet`.
- [ResNetNetwork](https://www.sktime.net/models/resnetnetwork.md/): Network from `sktime.networks.resnet`.
- [ResNetRegressor](https://www.sktime.net/models/resnetregressor.md/): Regressor from `sktime.regression.deep_learning.resnet`.
- [ReverseAugmenter](https://www.sktime.net/models/reverseaugmenter.md/): Transformer from `sktime.transformations.augmenter`.
- [RNNNetwork](https://www.sktime.net/models/rnnnetwork.md/): Network from `sktime.networks.rnn`.
- [Rocket](https://www.sktime.net/models/rocket.md/): Transformer from `sktime.transformations.rocket`.
- [RocketClassifier](https://www.sktime.net/models/rocketclassifier.md/): Classifier from `sktime.classification.kernel_based`.
- [RocketPyts](https://www.sktime.net/models/rocketpyts.md/): Transformer from `sktime.transformations.rocket`.
- [RocketRegressor](https://www.sktime.net/models/rocketregressor.md/): Regressor from `sktime.regression.kernel_based`.
- [SameLocSplitter](https://www.sktime.net/models/samelocsplitter.md/): Splitter from `sktime.split.sameloc`.
- [SARIMAX](https://www.sktime.net/models/sarimax.md/): Forecaster from `sktime.forecasting.sarimax`.
- [SAX](https://www.sktime.net/models/sax.md/): Transformer from `sktime.transformations.sax`.
- [SAXlegacy](https://www.sktime.net/models/saxlegacy.md/): Transformer from `sktime.transformations.dictionary_based`.
- [ScaledAsinhTransformer](https://www.sktime.net/models/scaledasinhtransformer.md/): Transformer from `sktime.transformations.scaledasinh`.
- [ScaledLogitTransformer](https://www.sktime.net/models/scaledlogittransformer.md/): Transformer from `sktime.transformations.scaledlogit`.
- [SCINetForecaster](https://www.sktime.net/models/scinetforecaster.md/): Forecaster from `sktime.forecasting.scinet`.
- [ScipyDist](https://www.sktime.net/models/scipydist.md/): Transformer (Pairwise) from `sktime.dists_kernels.scipy_dist`.
- [SeasonalDummiesOneHot](https://www.sktime.net/models/seasonaldummiesonehot.md/): Transformer from `sktime.transformations.dummies`.
- [SeasonalityACF](https://www.sktime.net/models/seasonalityacf.md/): Param Estimator from `sktime.param_est.seasonality`.
- [SeasonalityACFqstat](https://www.sktime.net/models/seasonalityacfqstat.md/): Param Estimator from `sktime.param_est.seasonality`.
- [SeasonalityPeriodogram](https://www.sktime.net/models/seasonalityperiodogram.md/): Param Estimator from `sktime.param_est.seasonality`.
- [SeededBinarySegmentation](https://www.sktime.net/models/seededbinarysegmentation.md/): Detector from `sktime.detection.seeded_binseg`.
- [SFA](https://www.sktime.net/models/sfa.md/): Transformer from `sktime.transformations.dictionary_based`.
- [SFAFast](https://www.sktime.net/models/sfafast.md/): Transformer from `sktime.transformations.dictionary_based`.
- [ShampooSales](https://www.sktime.net/models/shampoosales.md/): Dataset (Forecasting) from `sktime.datasets.forecasting.shampoo_sales`.
- [ShapeDTW](https://www.sktime.net/models/shapedtw.md/): Classifier from `sktime.classification.distance_based`.
- [ShapeletLearningClassifierPyts](https://www.sktime.net/models/shapeletlearningclassifierpyts.md/): Classifier from `sktime.classification.shapelet_based`.
- [ShapeletLearningClassifierTslearn](https://www.sktime.net/models/shapeletlearningclassifiertslearn.md/): Classifier from `sktime.classification.shapelet_based`.
- [ShapeletTransform](https://www.sktime.net/models/shapelettransform.md/): Transformer from `sktime.transformations.shapelet_transform`.
- [ShapeletTransformClassifier](https://www.sktime.net/models/shapelettransformclassifier.md/): Classifier from `sktime.classification.shapelet_based`.
- [ShapeletTransformPyts](https://www.sktime.net/models/shapelettransformpyts.md/): Transformer from `sktime.transformations.shapelet_transform`.
- [SignatureClassifier](https://www.sktime.net/models/signatureclassifier.md/): Classifier from `sktime.classification.feature_based`.
- [SignatureKernel](https://www.sktime.net/models/signaturekernel.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.signature_kernel`.
- [SignatureMoments](https://www.sktime.net/models/signaturemoments.md/): Transformer from `sktime.transformations.signature`.
- [SignatureTransformer](https://www.sktime.net/models/signaturetransformer.md/): Transformer from `sktime.transformations.signature_based`.
- [SimpleRNNClassifier](https://www.sktime.net/models/simplernnclassifier.md/): Classifier from `sktime.classification.deep_learning.rnn`.
- [SimpleRNNClassifierTorch](https://www.sktime.net/models/simplernnclassifiertorch.md/): Classifier from `sktime.classification.deep_learning.rnn`.
- [SimpleRNNRegressor](https://www.sktime.net/models/simplernnregressor.md/): Regressor from `sktime.regression.deep_learning.rnn`.
- [SimpleRNNRegressorTorch](https://www.sktime.net/models/simplernnregressortorch.md/): Regressor from `sktime.regression.deep_learning.rnn`.
- [SingleWindowSplitter](https://www.sktime.net/models/singlewindowsplitter.md/): Splitter from `sktime.split.singlewindow`.
- [SkforecastAutoreg](https://www.sktime.net/models/skforecastautoreg.md/): Forecaster from `sktime.forecasting.compose`.
- [SkforecastRecursive](https://www.sktime.net/models/skforecastrecursive.md/): Forecaster from `sktime.forecasting.compose`.
- [SklearnClassifierPipeline](https://www.sktime.net/models/sklearnclassifierpipeline.md/): Classifier from `sktime.classification.compose`.
- [SklearnClustererPipeline](https://www.sktime.net/models/sklearnclustererpipeline.md/): Clusterer from `sktime.clustering.compose`.
- [SklearnRegressorPipeline](https://www.sktime.net/models/sklearnregressorpipeline.md/): Regressor from `sktime.regression.compose`.
- [SlidingGreedySplitter](https://www.sktime.net/models/slidinggreedysplitter.md/): Splitter from `sktime.split.slidinggreedy`.
- [SlidingWindowSegmenter](https://www.sktime.net/models/slidingwindowsegmenter.md/): Transformer from `sktime.transformations.segment`.
- [SlidingWindowSplitter](https://www.sktime.net/models/slidingwindowsplitter.md/): Splitter from `sktime.split.slidingwindow`.
- [SlopeTransformer](https://www.sktime.net/models/slopetransformer.md/): Transformer from `sktime.transformations.slope`.
- [SoftDtwDistTslearn](https://www.sktime.net/models/softdtwdisttslearn.md/): Transformer (Pairwise Panel) from `sktime.dists_kernels.dtw`.
- [Solar](https://www.sktime.net/models/solar.md/): Dataset (Forecasting) from `sktime.datasets.forecasting.solar`.
- [SplineTrendForecaster](https://www.sktime.net/models/splinetrendforecaster.md/): Forecaster from `sktime.forecasting.trend`.
- [SplitterBootstrapTransformer](https://www.sktime.net/models/splitterbootstraptransformer.md/): Transformer from `sktime.transformations.bootstrap`.
- [SplitterSummarizer](https://www.sktime.net/models/splittersummarizer.md/): Transformer from `sktime.transformations.summarize`.
- [SqrtTransformer](https://www.sktime.net/models/sqrttransformer.md/): Transformer from `sktime.transformations.exponent`.
- [SquaredDistrLoss](https://www.sktime.net/models/squareddistrloss.md/): Metric from `sktime.performance_metrics.forecasting.probabilistic`.
- [SquaringResiduals](https://www.sktime.net/models/squaringresiduals.md/): Forecaster from `sktime.forecasting.squaring_residuals`.
- [SqueezeHierarchy](https://www.sktime.net/models/squeezehierarchy.md/): Transformer from `sktime.transformations.hierarchical.squeeze_hierarchy`.
- [StackingForecaster](https://www.sktime.net/models/stackingforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [StationarityADF](https://www.sktime.net/models/stationarityadf.md/): Param Estimator from `sktime.param_est.stationarity`.
- [StationarityADFArch](https://www.sktime.net/models/stationarityadfarch.md/): Param Estimator from `sktime.param_est.stationarity`.
- [StationarityDFGLS](https://www.sktime.net/models/stationaritydfgls.md/): Param Estimator from `sktime.param_est.stationarity`.
- [StationarityKPSS](https://www.sktime.net/models/stationaritykpss.md/): Param Estimator from `sktime.param_est.stationarity`.
- [StationarityKPSSArch](https://www.sktime.net/models/stationaritykpssarch.md/): Param Estimator from `sktime.param_est.stationarity`.
- [StationarityPhillipsPerron](https://www.sktime.net/models/stationarityphillipsperron.md/): Param Estimator from `sktime.param_est.stationarity`.
- [StationarityVarianceRatio](https://www.sktime.net/models/stationarityvarianceratio.md/): Param Estimator from `sktime.param_est.stationarity`.
- [StationarityZivotAndrews](https://www.sktime.net/models/stationarityzivotandrews.md/): Param Estimator from `sktime.param_est.stationarity`.
- [StatsForecastADIDA](https://www.sktime.net/models/statsforecastadida.md/): Forecaster from `sktime.forecasting.statsforecast`.
- [StatsForecastARCH](https://www.sktime.net/models/statsforecastarch.md/): Forecaster from `sktime.forecasting.arch`.
- [StatsForecastAutoARIMA](https://www.sktime.net/models/statsforecastautoarima.md/): Forecaster from `sktime.forecasting.statsforecast`.
- [StatsForecastAutoCES](https://www.sktime.net/models/statsforecastautoces.md/): Forecaster from `sktime.forecasting.statsforecast`.
- [StatsForecastAutoETS](https://www.sktime.net/models/statsforecastautoets.md/): Forecaster from `sktime.forecasting.statsforecast`.
- [StatsForecastAutoTBATS](https://www.sktime.net/models/statsforecastautotbats.md/): Forecaster from `sktime.forecasting.statsforecast`.
- [StatsForecastAutoTheta](https://www.sktime.net/models/statsforecastautotheta.md/): Forecaster from `sktime.forecasting.statsforecast`.
- [StatsForecastGARCH](https://www.sktime.net/models/statsforecastgarch.md/): Forecaster from `sktime.forecasting.arch`.
- [StatsForecastMSTL](https://www.sktime.net/models/statsforecastmstl.md/): Forecaster from `sktime.forecasting.statsforecast`.
- [StatsModelsARIMA](https://www.sktime.net/models/statsmodelsarima.md/): Forecaster from `sktime.forecasting.arima`.
- [StatThresholdAnomaliser](https://www.sktime.net/models/statthresholdanomaliser.md/): Detector from `sktime.detection.stat_threshold`.
- [STDBSCAN](https://www.sktime.net/models/stdbscan.md/): Clusterer from `sktime.clustering.spatio_temporal`.
- [STLBootstrapTransformer](https://www.sktime.net/models/stlbootstraptransformer.md/): Transformer from `sktime.transformations.bootstrap`.
- [STLForecaster](https://www.sktime.net/models/stlforecaster.md/): Forecaster from `sktime.forecasting.trend`.
- [STLTransformer](https://www.sktime.net/models/stltransformer.md/): Transformer from `sktime.transformations.detrend`.
- [STRAY](https://www.sktime.net/models/stray.md/): Transformer from `sktime.detection.stray`.
- [SubLOF](https://www.sktime.net/models/sublof.md/): Detector from `sktime.detection.lof`.
- [SubsequenceExtractionTransformer](https://www.sktime.net/models/subsequenceextractiontransformer.md/): Transformer from `sktime.transformations.subsequence_extraction`.
- [SummaryClassifier](https://www.sktime.net/models/summaryclassifier.md/): Classifier from `sktime.classification.feature_based`.
- [SummaryTransformer](https://www.sktime.net/models/summarytransformer.md/): Transformer from `sktime.transformations.summarize`.
- [SupervisedIntervals](https://www.sktime.net/models/supervisedintervals.md/): Transformer from `sktime.transformations.supervised_intervals`.
- [SupervisedTimeSeriesForest](https://www.sktime.net/models/supervisedtimeseriesforest.md/): Classifier from `sktime.classification.interval_based`.
- [Tabularizer](https://www.sktime.net/models/tabularizer.md/): Transformer from `sktime.transformations.reduce`.
- [TabularToSeriesAdaptor](https://www.sktime.net/models/tabulartoseriesadaptor.md/): Transformer from `sktime.transformations.adapt`.
- [TapNetClassifier](https://www.sktime.net/models/tapnetclassifier.md/): Classifier from `sktime.classification.deep_learning.tapnet`.
- [TapNetClassifierTorch](https://www.sktime.net/models/tapnetclassifiertorch.md/): Classifier from `sktime.classification.deep_learning.tapnet`.
- [TapNetNetwork](https://www.sktime.net/models/tapnetnetwork.md/): Network from `sktime.networks.tapnet`.
- [TapNetRegressor](https://www.sktime.net/models/tapnetregressor.md/): Regressor from `sktime.regression.deep_learning.tapnet`.
- [TapNetRegressorTorch](https://www.sktime.net/models/tapnetregressortorch.md/): Regressor from `sktime.regression.deep_learning.tapnet`.
- [TBATS](https://www.sktime.net/models/tbats.md/): Forecaster from `sktime.forecasting.tbats`.
- [TEASER](https://www.sktime.net/models/teaser.md/): Early Classifier from `sktime.classification.early_classification`.
- [Tecator](https://www.sktime.net/models/tecator.md/): Dataset (Regression) from `sktime.datasets.regression.tecator`.
- [TemporalDictionaryEnsemble](https://www.sktime.net/models/temporaldictionaryensemble.md/): Classifier from `sktime.classification.dictionary_based`.
- [TemporalTrainTestSplitter](https://www.sktime.net/models/temporaltraintestsplitter.md/): Splitter from `sktime.split.temporal_train_test_split`.
- [TemporianTransformer](https://www.sktime.net/models/temporiantransformer.md/): Transformer from `sktime.transformations.temporian`.
- [TestPlusTrainSplitter](https://www.sktime.net/models/testplustrainsplitter.md/): Splitter from `sktime.split.testplustrain`.
- [ThetaForecaster](https://www.sktime.net/models/thetaforecaster.md/): Forecaster from `sktime.forecasting.theta`.
- [ThetaLinesTransformer](https://www.sktime.net/models/thetalinestransformer.md/): Transformer from `sktime.transformations.theta`.
- [ThetaModularForecaster](https://www.sktime.net/models/thetamodularforecaster.md/): Forecaster from `sktime.forecasting.theta`.
- [ThresholdDetector](https://www.sktime.net/models/thresholddetector.md/): Detector from `sktime.detection.naive`.
- [TimeBinAggregate](https://www.sktime.net/models/timebinaggregate.md/): Transformer from `sktime.transformations.binning`.
- [TimeBinner](https://www.sktime.net/models/timebinner.md/): Transformer from `sktime.transformations.reduce`.
- [TimeLLMForecaster](https://www.sktime.net/models/timellmforecaster.md/): Forecaster from `sktime.forecasting.time_llm`.
- [TimeMoEForecaster](https://www.sktime.net/models/timemoeforecaster.md/): Forecaster from `sktime.forecasting.timemoe`.
- [TimerForecaster](https://www.sktime.net/models/timerforecaster.md/): Forecaster from `sktime.forecasting.timer`.
- [TimerS1Forecaster](https://www.sktime.net/models/timers1forecaster.md/): Forecaster from `sktime.forecasting.timer_s1`.
- [TimeSeriesAUPRC](https://www.sktime.net/models/timeseriesauprc.md/): Metric from `sktime.performance_metrics.detection`.
- [TimeSeriesDBSCAN](https://www.sktime.net/models/timeseriesdbscan.md/): Clusterer from `sktime.clustering.dbscan`.
- [TimeSeriesForestClassifier](https://www.sktime.net/models/timeseriesforestclassifier.md/): Classifier from `sktime.classification.interval_based`.
- [TimeSeriesForestRegressor](https://www.sktime.net/models/timeseriesforestregressor.md/): Regressor from `sktime.regression.interval_based`.
- [TimeSeriesKernelKMeans](https://www.sktime.net/models/timeserieskernelkmeans.md/): Clusterer from `sktime.clustering.kernel_k_means`.
- [TimeSeriesKMeans](https://www.sktime.net/models/timeserieskmeans.md/): Clusterer from `sktime.clustering.k_means`.
- [TimeSeriesKMeansTslearn](https://www.sktime.net/models/timeserieskmeanstslearn.md/): Clusterer from `sktime.clustering.k_means`.
- [TimeSeriesKMedoids](https://www.sktime.net/models/timeserieskmedoids.md/): Clusterer from `sktime.clustering.k_medoids`.
- [TimeSeriesKShapes](https://www.sktime.net/models/timeserieskshapes.md/): Clusterer from `sktime.clustering.k_shapes`.
- [TimeSeriesKvisibility](https://www.sktime.net/models/timeserieskvisibility.md/): Clusterer from `sktime.clustering.kvisibility`.
- [TimeSeriesSVC](https://www.sktime.net/models/timeseriessvc.md/): Classifier from `sktime.classification.kernel_based`.
- [TimeSeriesSVCTslearn](https://www.sktime.net/models/timeseriessvctslearn.md/): Classifier from `sktime.classification.kernel_based`.
- [TimeSeriesSVRTslearn](https://www.sktime.net/models/timeseriessvrtslearn.md/): Regressor from `sktime.regression.kernel_based`.
- [TimesFM2Forecaster](https://www.sktime.net/models/timesfm2forecaster.md/): Forecaster from `sktime.forecasting.timesfm2_forecaster`.
- [TimesFMForecaster](https://www.sktime.net/models/timesfmforecaster.md/): Forecaster from `sktime.forecasting.timesfm`.
- [TimeSince](https://www.sktime.net/models/timesince.md/): Transformer from `sktime.transformations.time_since`.
- [TinyTimeMixerForecaster](https://www.sktime.net/models/tinytimemixerforecaster.md/): Forecaster from `sktime.forecasting.ttm`.
- [TiRexForecaster](https://www.sktime.net/models/tirexforecaster.md/): Forecaster from `sktime.forecasting.tirex`.
- [TopdownReconciler](https://www.sktime.net/models/topdownreconciler.md/): Transformer from `sktime.transformations.hierarchical.reconcile`.
- [TotoForecaster](https://www.sktime.net/models/totoforecaster.md/): Forecaster from `sktime.forecasting.toto`.
- [TransformByLevel](https://www.sktime.net/models/transformbylevel.md/): Transformer from `sktime.transformations.compose`.
- [TransformedTargetForecaster](https://www.sktime.net/models/transformedtargetforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [TransformerPipeline](https://www.sktime.net/models/transformerpipeline.md/): Transformer from `sktime.transformations.compose`.
- [TransformIf](https://www.sktime.net/models/transformif.md/): Transformer from `sktime.transformations.compose`.
- [TransformSelectForecaster](https://www.sktime.net/models/transformselectforecaster.md/): Forecaster from `sktime.forecasting.compose`.
- [TrendForecaster](https://www.sktime.net/models/trendforecaster.md/): Forecaster from `sktime.forecasting.trend`.
- [TruncationTransformer](https://www.sktime.net/models/truncationtransformer.md/): Transformer from `sktime.transformations.truncation`.
- [TSB](https://www.sktime.net/models/tsb.md/): Forecaster from `sktime.forecasting.tsb`.
- [TSBootstrapAdapter](https://www.sktime.net/models/tsbootstrapadapter.md/): Transformer from `sktime.transformations.bootstrap`.
- [TSCGridSearchCV](https://www.sktime.net/models/tscgridsearchcv.md/): Classifier from `sktime.classification.model_selection`.
- [TSCOptCV](https://www.sktime.net/models/tscoptcv.md/): Classifier from `sktime.classification.model_selection`.
- [TSFeaturesTransformer](https://www.sktime.net/models/tsfeaturestransformer.md/): Transformer from `sktime.transformations.tsfeatures`.
- [TSFELTransformer](https://www.sktime.net/models/tsfeltransformer.md/): Transformer from `sktime.transformations.tsfel`.
- [TSFreshClassifier](https://www.sktime.net/models/tsfreshclassifier.md/): Classifier from `sktime.classification.feature_based`.
- [TSFreshFeatureExtractor](https://www.sktime.net/models/tsfreshfeatureextractor.md/): Transformer from `sktime.transformations.tsfresh`.
- [TSFreshRelevantFeatureExtractor](https://www.sktime.net/models/tsfreshrelevantfeatureextractor.md/): Transformer from `sktime.transformations.tsfresh`.
- [TSInterpolator](https://www.sktime.net/models/tsinterpolator.md/): Transformer from `sktime.transformations.interpolate`.
- [TSPulseAnomalyDetector](https://www.sktime.net/models/tspulseanomalydetector.md/): Detector from `sktime.detection.tspulse`.
- [TSPulseClassifier](https://www.sktime.net/models/tspulseclassifier.md/): Classifier from `sktime.classification.foundation_models.tspulse`.
- [TSRGridSearchCV](https://www.sktime.net/models/tsrgridsearchcv.md/): Regressor from `sktime.regression.model_selection`.
- [UCRUEADataset](https://www.sktime.net/models/ucrueadataset.md/): Dataset (Classification) from `sktime.datasets.classification.ucr_uea_archive`.
- [UnobservedComponents](https://www.sktime.net/models/unobservedcomponents.md/): Forecaster from `sktime.forecasting.structural`.
- [UpdateEvery](https://www.sktime.net/models/updateevery.md/): Forecaster from `sktime.forecasting.stream`.
- [UpdateRefitsEvery](https://www.sktime.net/models/updaterefitsevery.md/): Forecaster from `sktime.forecasting.stream`.
- [USChange](https://www.sktime.net/models/uschange.md/): Dataset (Forecasting) from `sktime.datasets.forecasting.uschange`.
- [VAR](https://www.sktime.net/models/var.md/): Forecaster from `sktime.forecasting.var`.
- [VARMAX](https://www.sktime.net/models/varmax.md/): Forecaster from `sktime.forecasting.varmax`.
- [VARReduce](https://www.sktime.net/models/varreduce.md/): Forecaster from `sktime.forecasting.var_reduce`.
- [VECM](https://www.sktime.net/models/vecm.md/): Forecaster from `sktime.forecasting.vecm`.
- [VmdTransformer](https://www.sktime.net/models/vmdtransformer.md/): Transformer from `sktime.transformations.vmd`.
- [WEASEL](https://www.sktime.net/models/weasel.md/): Classifier from `sktime.classification.dictionary_based`.
- [WeightedEnsembleClassifier](https://www.sktime.net/models/weightedensembleclassifier.md/): Classifier from `sktime.classification.ensemble`.
- [WhiteNoiseAugmenter](https://www.sktime.net/models/whitenoiseaugmenter.md/): Transformer from `sktime.transformations.augmenter`.
- [WindowedF1Score](https://www.sktime.net/models/windowedf1score.md/): Metric from `sktime.performance_metrics.detection`.
- [WindowSegmenter](https://www.sktime.net/models/windowsegmenter.md/): Detector from `sktime.detection.wclust`.
- [WindowSummarizer](https://www.sktime.net/models/windowsummarizer.md/): Transformer from `sktime.transformations.summarize`.
- [XLSTMForecaster](https://www.sktime.net/models/xlstmforecaster.md/): Forecaster from `sktime.forecasting.xlstm`.
- [YfromX](https://www.sktime.net/models/yfromx.md/): Forecaster from `sktime.forecasting.compose`.
- [YtoX](https://www.sktime.net/models/ytox.md/): Transformer from `sktime.transformations.compose`.
- [ZeroAnomalies](https://www.sktime.net/models/zeroanomalies.md/): Detector from `sktime.detection.dummy`.
- [ZeroChangePoints](https://www.sktime.net/models/zerochangepoints.md/): Detector from `sktime.detection.dummy`.
- [ZeroSegments](https://www.sktime.net/models/zerosegments.md/): Detector from `sktime.detection.dummy`.