DSTS 2.1.2

Official Python package implementation of the paper Doubly Structured Data Synthesis for Time-series Energy Use Data

Doubly Structured Time-series Synthesis (DSTS)

This repository contains the official Python package implementation of Doubly Structured Time-series Synthesis (DSTS).

Installation

You can install the package via pip. Run the following command in your terminal:

pip install DSTS

Usage

Below is a simple example to help you get started with the DSTS package.

Import the package

from DSTS import dsts

Load your dataset

data = ...  # Your dataset here

Construct a DSTS model

mixup_model = dsts(sort=True, centering='double')

Fit the model to your data

mixup_model.fit(train_data)

Generate synthetic data

generated_data = mixup_model.generate(aug=1)

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License

This project is licensed under the terms of the MIT License.