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¶
Abstract base class for time series regressors. |
|
Abstract base class for deep learning time series regression. |
Convolution-based¶
|
Hydra Regressor. |
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MultiRocket-Hydra Regressor. |
|
Regressor wrapped for the Rocket transformer using RidgeCV regressor. |
Deep learning¶
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Abstract base class for deep learning time series regression. |
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Time Series Convolutional Neural Network (CNN). |
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Time Series Convolutional Neural Network (CNN). |
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Establishing the network structure for an Encoder. |
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Fully Convolutional Network (FCN). |
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InceptionTime ensemble regressor. |
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Single LITE Regressor. |
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Single Inception regressor. |
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LITETime ensemble Regressor. |
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Residual Neural Network. |
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Time series attentional prototype network (TapNet). |
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Multi Layer Perceptron Network (MLP). |
Distance-based¶
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K-Nearest Neighbour Time Series Regressor. |
Dummy¶
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DummyRegressor makes predictions that ignore the input features. |
Feature-based¶
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Canonical Time-series Characteristics (catch22) regressor. |
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Fresh Pipeline with RotatIoN forest Regressor. |
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Summary statistic regressor. |
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Time Series Feature Extraction based on Scalable Hypothesis Tests regressor. |
Hybrid¶
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Randomised Interval-Shapelet Transformation (RIST) pipeline regressor. |
Interval-based¶
Canonical Interval Forest (CIF) Regressor. |
|
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Diverse Representation Canonical Interval Forest (DrCIF) Regressor. |
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Configurable interval extracting forest regressor. |
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Random Interval Regressor. |
Random Interval Spectral Ensemble (RISE) regressor. |
|
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Time series forest (TSF) regressor. |
Shapelet-based¶
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A random dilated shapelet transform (RDST) regressor. |
sklearn¶
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A Rotation Forest (RotF) vector regressor. |