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