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A demo project elaborate how to use intel analytic zoo to train and inference a NCF deep learning model

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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

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A demo project elaborate how to use intel analytic zoo to train and inference a NCF deep learning model

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