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Fix Some Typos in ReadME.md #423

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Mar 3, 2025
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Fix Some Typos in ReadME.md #423

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2 changes: 1 addition & 1 deletion README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -75,7 +75,7 @@ spark = raydp.init_spark(app_name='RayDP Example',
executor_cores=2,
executor_memory='4GB')

# normal data processesing with Spark
# normal data processing with Spark
df = spark.createDataFrame([('look',), ('spark',), ('tutorial',), ('spark',), ('look', ), ('python', )], ['word'])
df.show()
word_count = df.groupBy('word').count()
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4 changes: 2 additions & 2 deletions examples/README.md
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@@ -1,7 +1,7 @@
# RayDP Examples
Here are a few examples showing how RayDP works together with other libraries, such as PyTorch, Tensorflow, XGBoost and Horovod.

In order to run these examples, you may need to install corresponding dependencies. For installation guides, please refer to their homepages. Notice that we need to install [xgboost_ray](https://github.com/ray-project/xgboost_ray) to run the xgboost example. In addition, if you are running the examples in a ray cluster, all nodes should have the dependecies installed.
In order to run these examples, you may need to install corresponding dependencies. For installation guides, please refer to their homepages. Notice that we need to install [xgboost_ray](https://github.com/ray-project/xgboost_ray) to run the xgboost example. In addition, if you are running the examples in a ray cluster, all nodes should have the dependencies installed.

## NYC Taxi Fare Prediction Dataset
We have a few examples which use this dataset.
Expand All @@ -10,7 +10,7 @@ You can run our examples right away after you clone our repo, because we include
The original dataset can be downloaded [here](https://www.kaggle.com/c/new-york-city-taxi-fare-prediction/data). After you download it, please modify the variable `NYC_TRAIN_CSV` in `data_process.py` and point it to where `train.csv` is saved.

## Horovod
To run the example, please intall horovod via `pip install horovod[pytorch, ray]`. In addtion, `HOROVOD_WITH_PYTORCH` and `HOROVOD_WITH_GLOO` should be set to `1` before pip. Notice that macOS users need to first install `libuv` via `brew install libuv`. Please refer to [here](https://horovod.readthedocs.io/en/stable/install_include.html) for details.
To run the example, please install horovod via `pip install horovod[pytorch, ray]`. In addition, `HOROVOD_WITH_PYTORCH` and `HOROVOD_WITH_GLOO` should be set to `1` before pip. Notice that macOS users need to first install `libuv` via `brew install libuv`. Please refer to [here](https://horovod.readthedocs.io/en/stable/install_include.html) for details.

When running `horovod_nyctaxi.py`, do not use `horovodrun`. Check [here](https://horovod.readthedocs.io/en/stable/ray_include.html) for more information.

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