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Update Python API doc (#3619)

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* Show inherited members of XGBRegressor in API doc, since XGBRegressor uses default methods from XGBModel

* Add table of contents to Python API doc

* Skip JVM doc download if not available

* Show inherited members for XGBRegressor

* Add docstring to XGBRegressor.predict()

* Fix rendering errors in Python docstrings

* Fix lint
This commit is contained in:
Philip Cho
2018-09-05 12:00:34 -07:00
parent 1afd2f1b2d
commit f9a833f525
7 changed files with 145 additions and 68 deletions
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doc/jvm/xgboost4j_spark_tutorial.rst
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@@ -274,7 +274,7 @@ and then loading the model in another session:
With regards to ML pipeline save and load, please refer the next section.
Interact with Other Bindings of XGBoost
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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. XGBoost4j-Spark supports export model to local by:
.. code-block:: scala