Use Chronos in Container (docker)#
This dockerfile helps user to build a docker image where Chronos-nightly build version is deployed.
Build an image#
First clone the repo BigDL to the local.
git clone https://github.com/intel-analytics/BigDL.git
Then cd to the root directory of BigDL, and copy the Dockerfile to it.
cd BigDL
cp docker/chronos-nightly/Dockerfile ./Dockerfile
Then build your docker image with Dockerfile:
sudo docker build -t chronos-nightly:b1 . # You may choose any NAME:TAG you want.
(Optional) Or build with a proxy:
# typically, you need a proxy for building since there will be some downloading.
sudo docker build \
--build-arg http_proxy=http://<your_proxy_ip>:<your_proxy_port> \ #optional
--build-arg https_proxy=http://<your_proxy_ip>:<your_proxy_port> \ #optional
-t chronos-nightly:b1 . # You may choose any NAME:TAG you want.
According to your network status, this building will cost 15-30 mins.
Tips: When errors happen like E: Package 'apt-utils' has no installation candidate, it’s usually related to the bad network status. Please build with a proxy.
Run the image#
sudo docker run -it --rm --net=host chronos-nightly:b1 bash
Use Chronos#
A conda environment is created for you automatically. bigdl-chronos and all of its depenencies are installed inside this environment.
(chronos) root@cpx-3:/opt/work#
Run unitest examples on Jupyter Notebook for a quick use#
You can run these on Jupyter Notebook on single node server if you pursue a quick use on Chronos.
(chronos) root@cpx-3:/opt/work# cd /opt/work/colab-notebook #Unitest examples are here.
(chronos) root@cpx-3:/opt/work# jupyter notebook --notebook-dir=./ --ip=* --allow-root #Start the Jupyter Notebook services.
After the Jupyter Notebook service is successfully started, you can connect to the Jupyter Notebook service from a browser.
Get the IP address of the container
Launch a browser, and connect to the Jupyter Notebook service with the URL:
https://container-ip-address:port-number/?token=your-tokenAs a result, you will see the Jupyter Notebook opened.Open one of these
.ipynbfiles, run through the example and learn how to use Chronos to predict time series.
Shut down docker container#
You should shut down the BigDL Docker container after using it.
First, use
ctrl+p+qto quit the container when you are still in it.Then, you can list all the active Docker containers by command line:
sudo docker ps
You will see your docker containers:
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
40de2cdad025 chronos-nightly:b1 "/opt/work/" 3 hours ago Up 3 hours upbeat_al
Shut down the corresponding docker container by its ID:
sudo docker rm -f 40de2cdad025