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Mark next release as 1.7 instead of 2.0 (#8281)

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This commit is contained in:
Jiaming Yuan
2022-09-28 14:33:37 +08:00
committed by GitHub
parent 6d1452074a
commit f835368bcf
19 changed files with 38 additions and 39 deletions
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doc/jvm/xgboost4j_spark_tutorial.rst
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@@ -347,7 +347,7 @@ and then loading the model in another session:
.. note::
Besides dumping the model to raw format, users are able to dump the model to be json or ubj format from ``version 2.0.0+``.
Besides dumping the model to raw format, users are able to dump the model to be json or ubj format from ``version 1.7.0+``.
.. code-block:: scala
@@ -362,7 +362,7 @@ Interact with Other Bindings of XGBoost
After we train a model with XGBoost4j-Spark on massive dataset, sometimes we want to do model serving
in single machine or integrate it with other single node libraries for further processing.
After saving the model, we can load this model with single node Python XGBoost directly from ``version 2.0.0+``.
After saving the model, we can load this model with single node Python XGBoost directly from ``version 1.7.0+``.
.. code-block:: scala
@@ -375,7 +375,7 @@ After saving the model, we can load this model with single node Python XGBoost d
bst = xgb.Booster({'nthread': 4})
bst.load_model("/tmp/xgbClassificationModel/data/XGBoostClassificationModel")
Before ``version 2.0.0``, XGBoost4j-Spark needs to export model to local manually by:
Before ``version 1.7.0``, XGBoost4j-Spark needs to export model to local manually by:
.. code-block:: scala