Pattern-based Embedding for Time Series Classification

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PETSC

Pattern-based Embedding for Time Series Classification (PETSC).

This repository contains a Python/C++ implementation of PETSC, that is compatible with aeon. Two variants of PETSC are supported as well: MR-PETSC and PETSC-SOFT.

Installation

The easiest way to install petsc-ts is via pip:

pip install petsc-ts

If you want to run the tests locally (currently only an aeon test to check if the estimator complies with the required format), install the optional dependency:

pip install "petsc-ts[test]"

You can then import the PetsClassifier class as follows and use it as any other scikit-learn-compatible estimator:

from petsc_ts.classifier import PetsClassifier

clsf = PetsClassifier()
clsf.fit(X_train, y_train)
clsf.predict(X_test)
clsf.predict_proba(X_test)

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1.4

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