# **Sequential Indeterminate Probability Theory for Multivariate Time Series Forecasting**  

Pytorch implementation of ICLR2024 paper:  **Sequential Indeterminate Probability Theory for Multivariate Time Series Forecasting**,  
Paper ID: 2271
By Anonymous  

## **Environment**

1. Our environment is: Python 3.10.11  torch==2.0.1, torchvision==0.15.2  
    > pip install -r requirements.txt  

## **Quick Start**

1. Run the main test.  
    > sh scripts/ETTh1.sh

2. Run the abuse test. 
    > python scripts/duplicate_csv.py
    > sh scripts/ETTh1_duplicated.sh

## **Quick Results Check**

The main results are stored into results folder, you can easily access them if you do want.