# TS_Models

## Is LLM really useful in time series analysis?
### For more detailed code and experiments on Time-LLM, please refer to [Anonymous Github]("https://anonymous.4open.science/r/TS_Models-D1BC/")

### (This link is also provided in the paper.)

## DataSet
You can access the well pre-processed datasets from [Google Drive](https://drive.google.com/file/d/1NF7VEefXCmXuWNbnNe858WvQAkJ_7wuP/view), then place the downloaded contents under ./dataset

## Setup Environment

The Environment in these two eperiments is not complicated, just follow one of original repo, it will be fine.

## Run LLaTA experiments
     cd ./LLaTA

### For ETT experiments :

    sh scripts/long_term_forecasting/ETTh_GPT2.sh

    sh scripts/long_term_forecasting/ETTm_GPT2.sh
    
### For other datasets, such as traffic:
   
    sh scripts/long_term_forecasting/traffic.sh 

### (Please change "itt" parameters in script, if you only want to test)


## Run OFA experiments
    cd ./OFA

### For ETT experiments :
   
     bash ./scripts/ETTh_GPT2.sh   
  
     bash ./scripts/ETTm_GPT2.sh
  
### For other datasets, such as illness:

     bash ./scripts/illness.sh 

### For simple metheds, such as illness : 

     bash ./scripts/simple/illness.sh  (for other dataset)

     bash ./scripts/ETTh_simple.sh (for ETTh)

     bash ./scripts/ETTm_simple.sh (for ETTm)
   
### (Please change "itt" parameters in script, if you only want to test)

