Regression

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

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

Base

BaseRegressor()

Abstract base class for time series regressors.

BaseDeepRegressor([batch_size, last_file_name])

Abstract base class for deep learning time series regression.

Convolution-based

HydraRegressor([n_kernels, n_groups, ...])	Hydra Regressor.
MultiRocketHydraRegressor([n_kernels, ...])	MultiRocket-Hydra Regressor.
RocketRegressor([num_kernels, ...])	Regressor wrapped for the Rocket transformer using RidgeCV regressor.

Deep learning

BaseDeepRegressor([batch_size, last_file_name])	Abstract base class for deep learning time series regression.
TimeCNNRegressor([n_layers, kernel_size, ...])	Time Series Convolutional Neural Network (CNN).
EncoderRegressor([n_epochs, batch_size, ...])	Establishing the network structure for an Encoder.
FCNRegressor([n_layers, n_filters, ...])	Fully Convolutional Network (FCN).
InceptionTimeRegressor([n_regressors, ...])	InceptionTime ensemble regressor.
IndividualLITERegressor([n_filters, ...])	Single LITE Regressor.
IndividualInceptionRegressor([n_filters, ...])	Single Inception regressor.
LITETimeRegressor([n_regressors, n_filters, ...])	LITETime ensemble Regressor.
ResNetRegressor([n_residual_blocks, ...])	Residual Neural Network.
TapNetRegressor([n_epochs, batch_size, ...])	Time series attentional prototype network (TapNet).
MLPRegressor([n_epochs, batch_size, ...])	Multi Layer Perceptron Network (MLP).

Distance-based

KNeighborsTimeSeriesRegressor([distance, ...])

K-Nearest Neighbour Time Series Regressor.

Dummy

DummyRegressor([strategy, constant, quantile])

DummyRegressor makes predictions that ignore the input features.

Feature-based

Catch22Regressor([features, catch24, ...])	Canonical Time-series Characteristics (catch22) regressor.
FreshPRINCERegressor([...])	Fresh Pipeline with RotatIoN forest Regressor.
SummaryRegressor([summary_stats, estimator, ...])	Summary statistic regressor.
TSFreshRegressor([default_fc_parameters, ...])	Time Series Feature Extraction based on Scalable Hypothesis Tests regressor.

Hybrid

RISTRegressor([n_intervals, n_shapelets, ...])

Randomised Interval-Shapelet Transformation (RIST) pipeline regressor.

Interval-based

CanonicalIntervalForestRegressor([...])	Canonical Interval Forest (CIF) Regressor.
DrCIFRegressor([base_estimator, ...])	Diverse Representation Canonical Interval Forest (DrCIF) Regressor.
IntervalForestRegressor([base_estimator, ...])	Configurable interval extracting forest regressor.
RandomIntervalRegressor([n_intervals, ...])	Random Interval Regressor.
RandomIntervalSpectralEnsembleRegressor([...])	Random Interval Spectral Ensemble (RISE) regressor.
TimeSeriesForestRegressor([base_estimator, ...])	Time series forest (TSF) regressor.

Shapelet-based

RDSTRegressor([max_shapelets, ...])

A random dilated shapelet transform (RDST) regressor.

sklearn

RotationForestRegressor([n_estimators, ...])

A Rotation Forest (RotF) vector regressor.