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Update DeepRec README.md #5652

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4 changes: 2 additions & 2 deletions python/friesian/example/deeprec/README.md
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# Run DeepRec with BigDL
Here we demonstrate how to integrate [DeepRec](https://github.com/alibaba/DeepRec) into BigDL so as to easily build end-to-end recommendation pipelines for Spark data processing and DeepRec model training.

See [here](https://github.com/alibaba/DeepRec/tree/main/modelzoo/WDL) for the original Wide & Deep training example in DeepRec. This BigDL example uses BigDL Friesian for distribtued feature engineering and BigDL Orca for launching DeepRec distributed training on the Kubernetes cluster.
See [here](https://github.com/alibaba/DeepRec/tree/main/modelzoo/wide_and_deep) for the original Wide & Deep training example in DeepRec. This BigDL example uses BigDL Friesian for distribtued feature engineering and BigDL Orca for launching DeepRec distributed training on the Kubernetes cluster.

## 1. Environment Preparation
1. Enter the client node of the k8s cluster.
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8. Run the program `wdl.py`. You may need to change the NFS configurations in `init_orca_context` according to your cluster settings.

## 2. Data Preparation
Please refer to the [README](https://github.com/alibaba/DeepRec/tree/main/modelzoo/WDL/data) of DeepRec's WDL example to download the dataset. Put `train.csv` and `eval.csv` under the same folder. The files should be accessible to all nodes in the cluster (e.g. in NFS).
Please refer to the [README](https://github.com/alibaba/DeepRec/tree/main/modelzoo/wide_and_deep/data) of DeepRec's WDL example to download the dataset. Put `train.csv` and `eval.csv` under the same folder. The files should be accessible to all nodes in the cluster (e.g. in NFS).

## 3. Train DeepRec WDL
- Local mode:
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