[Doc] how to configure regarding to stage-level #9727
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trivialfis
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Oct 27, 2023
doc/tutorials/spark_estimator.rst
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| @@ -128,7 +128,7 @@ Write your PySpark application | |||
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| Below snippet is a small example for training xgboost model with PySpark. Notice that we are | |||
| using a list of feature names and the additional parameter ``device``: | |||
| using a list of feature names instead of vector features and the additional parameter ``device``: | |||
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I think this is a little bit confusing, what's "vector features"? Also, "and the additional parameter ... ", is the "and" a continuation of "vector feature" or the continuation of "list of feature names"
doc/tutorials/spark_estimator.rst
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| By executing the aforementioned command, the XGBoost application will be submitted with python environment created by pip or conda, | ||
| specifying a request for 1 GPU and 12 CPUs per executor. During the ETL phase, a total of 12 tasks will be executed concurrently. |
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| By executing the aforementioned command, the XGBoost application will be submitted with python environment created by pip or conda, | |
| specifying a request for 1 GPU and 12 CPUs per executor. During the ETL phase, a total of 12 tasks will be executed concurrently. | |
| The submit command sends the Python environment created by pip or conda along with the specification of GPU allocation. During the ETL phase, a total of 12 tasks will be executed concurrently. |
Co-authored-by: Jiaming Yuan <[email protected]>
Co-authored-by: Jiaming Yuan <[email protected]>
Co-authored-by: Jiaming Yuan <[email protected]>
trivialfis
approved these changes
Oct 30, 2023
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