Time series classification

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

Composition

ClassifierPipeline(classifier, transformers)	Pipeline of transformers and a classifier.
ColumnEnsembleClassifier(estimators[, …])	Applies estimators to columns of an array or pandas DataFrame.
ComposableTimeSeriesForestClassifier([…])	Time Series Forest Classifier as described in [R04666ccc08e6-1].
SklearnClassifierPipeline(classifier, …)	Pipeline of transformers and a classifier.

Deep learning

CNNClassifier([n_epochs, batch_size, …])	Time Convolutional Neural Network (CNN), as described in [Rd06fa525366f-1].
FCNClassifier([n_epochs, batch_size, …])	Fully Connected Neural Network (FCN), as described in [R4ddccc18e565-1].
MLPClassifier([n_epochs, batch_size, …])	Multi Layer Perceptron Network (MLP), as described in [R2c17e28b4d16-1].
TapNetClassifier([n_epochs, batch_size, …])	Time series attentional prototype network (TapNet), as described in [Rdbe61d137f31-1].

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).

Distance-based

ElasticEnsemble([distance_measures, …])	The Elastic Ensemble (EE).
KNeighborsTimeSeriesClassifier([…])	KNN Time Series Classifier.
ProximityForest([random_state, …])	Proximity Forest class.
ProximityStump([random_state, …])	Proximity Stump class.
ProximityTree([random_state, get_exemplars, …])	Proximity Tree class.
ShapeDTW([n_neighbors, subsequence_length, …])	ShapeDTW classifier.

Dummy

DummyClassifier([strategy, random_state, …])

DummyClassifier makes predictions that ignore the input features.

Early classification

ProbabilityThresholdEarlyClassifier(*args, …)	Probability Threshold Early Classifier.
TEASER([estimator, one_class_classifier, …])	Two-tier Early and Accurate Series Classifier (TEASER).

Feature-based

Catch22Classifier([outlier_norm, …])	Canonical Time-series Characteristics (catch22) classifier.
FreshPRINCE([default_fc_parameters, …])	Fresh Pipeline with RotatIoN forest Classifier.
MatrixProfileClassifier([…])	Martrix Profile (MP) classifier.
RandomIntervalClassifier([n_intervals, …])	Random Interval 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

CanonicalIntervalForest([n_estimators, …])	Canonical Interval Forest Classifier (CIF).
DrCIF([n_estimators, n_intervals, …])	Diverse Representation Canonical Interval Forest Classifier (DrCIF).
RandomIntervalSpectralEnsemble([…])	Random Interval Spectral Ensemble (RISE).
SupervisedTimeSeriesForest([n_estimators, …])	Supervised Time Series Forest (STSF).
TimeSeriesForestClassifier([min_interval, …])	Time series forest classifier.

Kernel-based

Arsenal([num_kernels, n_estimators, …])	Arsenal ensemble.
RocketClassifier([num_kernels, …])	Classifier wrapped for the Rocket transformer using RidgeClassifierCV.

Shapelet-based

ShapeletTransformClassifier([…])

A shapelet transform classifier (STC).

sklearn

ContinuousIntervalTree([max_depth, …])	Continuous interval tree (CIT) vector classifier (aka Time Series Tree).
RotationForest([n_estimators, min_group, …])	A rotation forest (RotF) vector classifier.

Base

BaseClassifier()

Abstract base class for time series classifiers.

BaseDeepClassifier([batch_size, random_state])

Abstract base class for deep learning time series classifiers.

BaseEarlyClassifier()

Abstract base class for early time series classifiers.