Time series classification#
The sktime.classification
module contains algorithms and composition tools for time series classification.
Composition#
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Applies estimators to columns of an array or pandas DataFrame. |
Dictionary-based#
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Single bag of Symbolic Fourier Approximation Symbols (IndividualBOSS). |
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Ensemble of Bag of Symbolic Fourier Approximation Symbols (BOSS). |
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Contractable Bag of Symbolic Fourier Approximation Symbols (cBOSS). |
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Word Extraction for Time Series Classification (WEASEL). |
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MUSE (MUltivariate Symbolic Extension). |
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Single TDE classifier, an extension of the Bag of SFA Symbols (BOSS) model. |
Temporal Dictionary Ensemble (TDE). |
Distance-based#
KNN Time Series Classifier. |
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The Elastic Ensemble (EE). |
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Proximity Forest class. |
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Proximity Tree class. |
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Proximity Stump class. |
Dummy#
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DummyClassifier makes predictions that ignore the input features. |
Hybrid#
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Hierarchical Vote Collective of Transformation-based Ensembles (HIVE-COTE) V1. |
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Hierarchical Vote Collective of Transformation-based Ensembles (HIVE-COTE) V2. |
Interval-based#
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Time series forest classifier. |
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Supervised Time Series Forest (STSF). |
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Canonical Interval Forest Classifier (CIF). |
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Diverse Representation Canonical Interval Forest Classifier (DrCIF). |
Random Interval Spectral Ensemble (RISE). |
Shapelet-based#
Shapelet Transform Classifier. |
Kernel-based#
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Classifier wrapped for the Rocket transformer using RidgeClassifierCV. |
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Arsenal ensemble. |
Feature-based#
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Canonical Time-series Characteristics (catch22) classifier. |
Martrix Profile (MP) classifier. |
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Time Series Feature Extraction based on Scalable Hypothesis Tests classifier. |
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Classification module using signature-based features. |
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Fresh Pipeline with RotatIoN forest Classifier. |
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Summary statistic classifier. |
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Random Interval Classifier. |