https://github.com/mastercard/udap-analytic-zoo-examples
A demo project elaborate how to use intel analytic zoo to train and inference a NCF deep learning model
https://github.com/mastercard/udap-analytic-zoo-examples
Last synced: about 1 year ago
JSON representation
A demo project elaborate how to use intel analytic zoo to train and inference a NCF deep learning model
- Host: GitHub
- URL: https://github.com/mastercard/udap-analytic-zoo-examples
- Owner: Mastercard
- License: apache-2.0
- Created: 2020-11-17T01:20:12.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2022-11-22T05:02:59.000Z (over 3 years ago)
- Last Synced: 2024-04-16T10:43:25.591Z (over 2 years ago)
- Language: Python
- Size: 12.1 MB
- Stars: 5
- Watchers: 4
- Forks: 5
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# udap_ncf_analytic_zoo_examples
A demo project elaborate how to use intel analytic zoo to train and inference a NCF deep learning model
## How to build it.
### By default, build docker image:
sudo docker build --rm -t ncf_analytic_zoo:latest .
### You can also start the container first
sudo docker run -it --rm \
-p 22:22 -p 4040:4040 -p 6006:6006 -p 6379:6379 -p 8080:8080 -p 8998:8998 -p 12345:12345 \
-e NotebookPort=12345 \
-e NotebookToken="mc123" \
-e RUNTIME_DRIVER_CORES=1 \
-e RUNTIME_DRIVER_MEMORY=2g \
-e RUNTIME_EXECUTOR_CORES=2 \
-e RUNTIME_EXECUTOR_MEMORY=6g \
-e RUNTIME_TOTAL_EXECUTOR_CORES=2 \
--name ncf_analytic_zoo -h ncf_analytic_zoo ncf_analytic_zoo:latest bash
## How to run the demo code.
### Move to /opt/work/ncf folder and execute ./run_ncf.sh
cd /opt/work/examples/ncf
./run_ncf.sh
### Start notebook
cd /opt/work/examples/ncf
unzip jobs.zip
cd /opt/work/scripts
./start-notebook.sh
### Then log in to run the ncf_zoo.ipynb , remember to replace 10.157.146.29 with your host IP address
http://10.157.146.29:12345/?token=mc123