Chronos Installation

---

OS and Python version requirement

Note

Supported OS:

Chronos is thoroughly tested on Ubuntu (16.04/18.04/20.04), and should works fine on CentOS. If you are a Windows user, the most convenient way to use Chronos on a windows laptop might be using WSL2, you may refer to https://docs.microsoft.com/en-us/windows/wsl/setup/environment or just install a ubuntu virtual machine.

Note

Supported Python Version:

Chronos only supports Python 3.7.2 ~ latest 3.7.x. We are validating more Python versions.

Install using Conda

We recommend using conda to manage the Chronos python environment. For more information about Conda, refer to here. Select your preferences in the panel below to find the proper install command. Then run the install command as the example shown below.

Functionality	Forecasting	Anomaly Detection		Simulation
Model	Deep learning models	Prophet		ARIMA
DL framework	PyTorch (Recommended)		Tensorflow
OS	Linux		Windows
Auto Tuning	No		Yes
Hardware	Single node		Cluster
Package	Pip		Docker
Version	Nightly (2.1.0b)		Stable (2.0.0)
Install CMD	NA

# create a conda environment for chronos
conda create -n my_env python=3.7 setuptools=58.0.4
conda activate my_env

# select your preference in above panel to find the proper command to replace the below command
pip install --pre --upgrade bigdl-chronos[pytorch]

# init bigdl-nano to enable local accelerations
source bigdl-nano-init  # accelerate the conda env

Tensorflow backend

Tensorflow is one of the supported backend of Chronos in nightly release version, while it can not work alone without pytorch in Chronos for now. We will fix it soon. If you want to use tensorflow backend, please

pip install --pre --upgrade bigdl-nano[tensorflow]

after you install the pytorch backend chronos.

---