Install TimeMachine requirements
mainTo set up the environment for TimeMachine, install the necessary dependencies using pip from the provided requirements file.
pip install -r requirements.txtTimeMachine Forecasting Framework
repository·main·Indexed 42 days ago
https://github.com/atik-ahamed/timemachineA long-term multivariate time series forecasting framework built upon the PatchTST framework, based on the concept that 'A Time Series is Worth 4 Mambas'.
What's inside TimeMachine
Run the weather dataset multivariate forecasting example
mainYou can run a complete multivariate forecasting example using the weather dataset by executing the provided shell script.
Once training is complete:
- View the results in
./result.txt. - Access detailed results in the
csv_resultsdirectory, which can be used for querying with dataframes.
Note: The core model logic is located in
models/TimeMachine.py. The implementation is built on thePatchTSTframework, and hyperparameters such as look-back windows and prediction lengths can be tuned as needed.sh ./scripts/TimeMachine/weather.sh- View the results in