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[jvm-packages] Add the new device parameter. (#9385)

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This commit is contained in:
Jiaming Yuan
2023-07-17 18:40:39 +08:00
committed by GitHub
parent 2caceb157d
commit f4fb2be101
15 changed files with 112 additions and 47 deletions
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doc/jvm/xgboost4j_spark_gpu_tutorial.rst
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@@ -121,7 +121,7 @@ To train a XGBoost model for classification, we need to claim a XGBoostClassifie
"objective" -> "multi:softprob",
"num_class" -> 3,
"num_round" -> 100,
"tree_method" -> "gpu_hist",
"device" -> "cuda",
"num_workers" -> 1)
val featuresNames = schema.fieldNames.filter(name => name != labelName)
@@ -130,15 +130,14 @@ To train a XGBoost model for classification, we need to claim a XGBoostClassifie
.setFeaturesCol(featuresNames)
.setLabelCol(labelName)
The available parameters for training a XGBoost model can be found in :doc:`here </parameter>`.
Similar to the XGBoost4J-Spark package, in addition to the default set of parameters,
XGBoost4J-Spark-GPU also supports the camel-case variant of these parameters to be
consistent with Spark's MLlib naming convention.
The ``device`` parameter is for informing XGBoost that CUDA devices should be used instead of CPU. Unlike the single-node mode, GPUs are managed by spark instead of by XGBoost. Therefore, explicitly specified device ordinal like ``cuda:1`` is not support.
The available parameters for training a XGBoost model can be found in :doc:`here </parameter>`. Similar to the XGBoost4J-Spark package, in addition to the default set of parameters, XGBoost4J-Spark-GPU also supports the camel-case variant of these parameters to be consistent with Spark's MLlib naming convention.
Specifically, each parameter in :doc:`this page </parameter>` has its equivalent form in
XGBoost4J-Spark-GPU with camel case. For example, to set ``max_depth`` for each tree, you can pass
parameter just like what we did in the above code snippet (as ``max_depth`` wrapped in a Map), or
you can do it through setters in XGBoostClassifer:
XGBoost4J-Spark-GPU with camel case. For example, to set ``max_depth`` for each tree, you
can pass parameter just like what we did in the above code snippet (as ``max_depth``
wrapped in a Map), or you can do it through setters in XGBoostClassifer:
.. code-block:: scala