Time series classification#

The aeon.classification module contains algorithms and composition tools for time series classification.

All classifiers in aeon can be listed using the aeon.registry .all_estimators utility, using estimator_types="classifier", optionally filtered by tags. Valid tags can be listed using aeon.registry.all_tags.

Convolution-based#

Arsenal([num_kernels, n_estimators, ...])

Arsenal ensemble.

RocketClassifier([num_kernels, ...])

Classifier wrapped for the Rocket transformer using RidgeClassifierCV.

Deep learning#

CNNClassifier([n_layers, kernel_size, ...])

Time Convolutional Neural Network (CNN), as described in [R005c17f530c3-1].

FCNClassifier([n_layers, n_filters, ...])

Fully Connected Neural Network (FCN), as described in [R0993622772bf-1].

MLPClassifier([n_epochs, batch_size, ...])

Multi Layer Perceptron Network (MLP), as described in [R9d18d4b40404-1].

InceptionTimeClassifier([n_classifiers, ...])

InceptionTime ensemble classifier.

IndividualInceptionClassifier([nb_filters, ...])

Single InceptionTime classifier.

TapNetClassifier([n_epochs, batch_size, ...])

Time series attentional prototype network (TapNet), as described in [R1cad3b3178d5-1].

Dictionary-based#

BOSSEnsemble([threshold, max_ensemble_size, ...])

Ensemble of Bag of Symbolic Fourier Approximation Symbols (BOSS).

ContractableBOSS([n_parameter_samples, ...])

Contractable Bag of Symbolic Fourier Approximation Symbols (cBOSS).

IndividualBOSS([window_size, word_length, ...])

Single bag of Symbolic Fourier Approximation Symbols (IndividualBOSS).

IndividualTDE([window_size, word_length, ...])

Single TDE classifier, an extension of the Bag of SFA Symbols (BOSS) model.

MUSE([anova, variance, bigrams, window_inc, ...])

MUSE (MUltivariate Symbolic Extension).

TemporalDictionaryEnsemble([...])

Temporal Dictionary Ensemble (TDE).

WEASEL([anova, bigrams, binning_strategy, ...])

Word Extraction for Time Series Classification (WEASEL) [1].

WEASEL_V2([min_window, norm_options, ...])

Word Extraction for Time Series Classification (WEASEL) v2.0.

Distance-based#

ElasticEnsemble([distance_measures, ...])

The Elastic Ensemble (EE).

KNeighborsTimeSeriesClassifier([distance, ...])

KNN Time Series Classifier.

ShapeDTW([n_neighbors, subsequence_length, ...])

ShapeDTW classifier.

Feature-based#

Catch22Classifier([features, catch24, ...])

Canonical Time-series Characteristics (catch22) classifier.

FreshPRINCEClassifier([...])

Fresh Pipeline with RotatIoN forest Classifier.

MatrixProfileClassifier([...])

Matrix Profile (MP) classifier.

SignatureClassifier([estimator, ...])

Classification module using signature-based features.

SummaryClassifier([summary_functions, ...])

Summary statistic classifier.

TSFreshClassifier([default_fc_parameters, ...])

Time Series Feature Extraction based on Scalable Hypothesis Tests classifier.

Hybrid#

HIVECOTEV1([stc_params, tsf_params, ...])

Hierarchical Vote Collective of Transformation-based Ensembles (HIVE-COTE) V1.

HIVECOTEV2([stc_params, drcif_params, ...])

Hierarchical Vote Collective of Transformation-based Ensembles (HIVE-COTE) V2.

Interval-based#

SupervisedTimeSeriesForest([base_estimator, ...])

Supervised Time Series Forest (STSF).

TimeSeriesForestClassifier([base_estimator, ...])

Time series forest (TSF) classifier.

RandomIntervalClassifier([n_intervals, ...])

Random Interval Classifier.

Shapelet-based#

ShapeletTransformClassifier([...])

A shapelet transform classifier (STC).

MrSQMClassifier([strat, features_per_rep, ...])

Multiple Representations Sequence Miner (MrSQM) classifier.

RDSTClassifier([max_shapelets, ...])

A random dilated shapelet transform (RDST) classifier.

sklearn#

ContinuousIntervalTree([max_depth, ...])

Continuous interval tree (CIT) vector classifier (aka Time Series Tree).

RotationForestClassifier([n_estimators, ...])

A rotation forest (RotF) vector classifier.

Early classification#

ProbabilityThresholdEarlyClassifier([...])

Probability Threshold Early Classifier.

TEASER([estimator, one_class_classifier, ...])

Two-tier Early and Accurate Series Classifier (TEASER).

Ordinal classification#

IndividualOrdinalTDE([window_size, ...])

Single O-TDE classifier, an ordinal version of the IndividualTDE from [R246383869600-2].

OrdinalTDE([n_parameter_samples, ...])

Ordinal Temporal Dictionary Ensemble (O-TDE).

histogram_intersection(first, second)

Find the distance between two histograms using the histogram intersection.

Composition#

ClassifierPipeline(classifier, transformers)

Pipeline of transformers and a classifier.

ChannelEnsembleClassifier(estimators[, ...])

Applies estimators to channels of an array.

SklearnClassifierPipeline(classifier, ...)

Pipeline of transformers and a classifier.

WeightedEnsembleClassifier(classifiers[, ...])

Weighted ensemble of classifiers with fittable ensemble weight.

Base#

BaseClassifier()

Abstract base class for time series classifiers.

DummyClassifier([strategy, random_state, ...])

DummyClassifier makes predictions that ignore the input features.

BaseDeepClassifier([batch_size, ...])

Abstract base class for deep learning time series classifiers.

BaseEarlyClassifier()

Abstract base class for early time series classifiers.