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[PPML] Fix the error in docker-graphene/README.md #5510

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merged 4 commits into from
Aug 26, 2022
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[PPML] Fix the error in docker-graphene/README.md #5510

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ea8b838
Fix the error in docker-graphene/README.md
gc-fu Aug 23, 2022
86d43ce
Add instructions on how to process Boston_Housing.csv
gc-fu Aug 23, 2022
0bb3a8d
Change to use the correct path for xgboost examples
gc-fu Aug 24, 2022
32ae255
Fix README typos
gc-fu Aug 26, 2022
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19 changes: 15 additions & 4 deletions ppml/trusted-big-data-ml/python/docker-graphene/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -283,8 +283,21 @@ The result should be similar to

##### Example 5: XGBoost Regressor

The data source `Boston_Housing.csv` can be found at [here](https://github.com/selva86/datasets/blob/master/BostonHousing.csv).
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Before running the example, make sure that `Boston_Housing.csv` is under `work/data` directory or the same path in the command. Run the example with SGX spark local mode with the following command in the terminal. Replace `your_IP_address` with your IP address and `path_of_boston_housing_csv` with your path of `Boston_Housing.csv`.


Note that data in `Boston_Housing.csv` needs to be pre-processed, before training with `xgboost_example.py`.

The data for column "chas" is in type "string" and we need to delete all the **quotation marks(")** so that the `xgboost_example.py` can successfully load the data.

Before changing:
> 0.00632,18,2.31,**"0"**,0.538,6.575,65.2,4.09,1,296,15.3,396.9,4.98,24

After changing:
> 0.00632,18,2.31,**0**,0.538,6.575,65.2,4.09,1,296,15.3,396.9,4.98,24

```bash
/graphene/Tools/argv_serializer bash -c "export RABIT_TRACKER_IP=your_IP_address && /opt/jdk8/bin/java -cp \
'/ppml/trusted-big-data-ml/work/bigdl-2.1.0-SNAPSHOT/jars/*:/ppml/trusted-big-data-ml/work/spark-3.1.2/conf/:/ppml/trusted-big-data-ml/work/spark-3.1.2/jars/*' \
Expand All @@ -295,10 +308,9 @@ Before running the example, make sure that `Boston_Housing.csv` is under `work/d
--conf spark.executor.extraClassPath=/ppml/trusted-big-data-ml/work/bigdl-2.1.0-SNAPSHOT/jars/* \
--conf spark.driver.extraClassPath=/ppml/trusted-big-data-ml/work/bigdl-2.1.0-SNAPSHOT/jars/* \
--properties-file /ppml/trusted-big-data-ml/work/bigdl-2.1.0-SNAPSHOT/conf/spark-bigdl.conf \
--jars /ppml/trusted-big-data-ml/work/bigdl-2.1.0-SNAPSHOT/jars/* \
--py-files /ppml/trusted-big-data-ml/work/bigdl-2.1.0-SNAPSHOT/python/bigdl-orca-spark_3.1.2-2.1.0-SNAPSHOT-python-api.zip \
--executor-memory 2g \
/ppml/trusted-big-data-ml/work/examples/pyzoo/xgboost/xgboost_example.py \
/ppml/trusted-big-data-ml/work/bigdl-2.1.0-SNAPSHOT/examples/dllib/nnframes/xgboost/xgboost_example.py \
--file-path path_of_boston_housing_csv" > /ppml/trusted-big-data-ml/secured-argvs
./init.sh
SGX=1 ./pal_loader bash 2>&1 | tee test-zoo-xgboost-regressor-sgx.log
Expand Down Expand Up @@ -372,10 +384,9 @@ After downloading the dataset, make sure that `pima-indians-diabetes.data.csv` i
--conf spark.executor.extraClassPath=/ppml/trusted-big-data-ml/work/bigdl-2.1.0-SNAPSHOT/jars/* \
--conf spark.driver.extraClassPath=/ppml/trusted-big-data-ml/work/bigdl-2.1.0-SNAPSHOT/jars/* \
--properties-file /ppml/trusted-big-data-ml/work/bigdl-2.1.0-SNAPSHOT/conf/spark-bigdl.conf \
--jars /ppml/trusted-big-data-ml/work/bigdl-2.1.0-SNAPSHOT/jars/* \
--py-files /ppml/trusted-big-data-ml/work/bigdl-2.1.0-SNAPSHOT/python/bigdl-orca-spark_3.1.2-2.1.0-SNAPSHOT-python-api.zip \
--executor-memory 2g \
/ppml/trusted-big-data-ml/work/examples/pyzoo/xgboost/xgboost_classifier.py \
/ppml/trusted-big-data-ml/work/bigdl-2.1.0-SNAPSHOT/examples/dllib/nnframes/xgboost/xgboost_classifier.py \
-f path_of_pima_indians_diabetes_csv" > /ppml/trusted-big-data-ml/secured-argvs
./init.sh
SGX=1 ./pal_loader bash 2>&1 | tee test-xgboost-classifier-sgx.log
Expand Down