NeuralForecast
from the Python package index with:
Tip Neural Forecasting methods profit from using GPU computation. Be sure to have Cuda installed.
Warning
We are constantly updating neuralforecast, so we suggest fixing the
version to avoid issues. pip install neuralforecast=="1.0.0"
Tip We recommend installing your libraries inside a python virtual or conda environment.
Extras
You can use the following extras to add optional functionality:- distributed training with spark:
pip install neuralforecast[spark]
- saving and loading from S3:
pip install neuralforecast[aws]
User our env (optional)
If you don’t have a Conda environment and need tools like Numba, Pandas, NumPy, Jupyter, Tune, and Nbdev you can use ours by following these steps:- Clone the NeuralForecast repo:
- Create the environment using the
environment.yml
file:
- Activate the environment:
- Install NeuralForecast Dev