message: add instructions to run the examples
diff: @@ -24,16 +24,6 @@ each other:
  ## Running the Coordinator/ Aggregator locally
  -### Examples
  -
  -To run the tensorflow example:
  -
  -```bash
  -pip install python/sdk
  -pip install tensorflow==1.15.2
  -python python/client_examples/tf.py
  -```
  -
  ### Coordinator
  ```bash
  @@ -80,3 +70,56 @@ docker-compose -f docker/docker-compose.yml -f docker/docker-compose-valgrind.ym
  docker logs docker_coordinator_1
  docker logs docker_aggregator_1
  ```
  +
  +### Running the python examples
  +
  +The examples are under [`./python/client_examples`](./python/client_examples).
  +
  +#### `dummy.py`
  +
  +Install the SDK: `pip install -e python/sdk`, then run the example:
  +
  +```
  +cd python/client_examples
  +python dummy.py \
  + --number-of-participants 1 \
  + --coordinator-url http://localhost:8081 \
  + --model-size 10
  +```
  +
  +#### `keras_house_prices`
  +
  +**All the commands in this section are run from the
  +`python/client_examples/keras_house_prices` directory.**
  +
  +1. Install the SDK and the example:
  +
  +```
  +pip install -e ../../sdk
  +pip install -e .
  +```
  +
  +2. Download the dataset from Kaggle:
  + https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data
  +
  +3. Extract the data (into
  + `python/client_examples/keras_house_prices/data/` here, but the
  + location doesn't matter):
  +
  +```
  +(cd ./data ; unzip house-prices-advanced-regression-techniques.zip)
  +```
  +
  +4. Prepare the data:
  +
  +```
  +split-data --data-directory data --number-of-participants 10
  +```
  +
  +5. Run one participant:
  +
  +```
  +run-participant --data-directory data
  +```
  +
  +6. Repeat the previous step to run more participants
  