Update Python API doc (#3619)

* Add XGBRanker to Python API doc

* 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 and XGBRanker

* Expose XGBRanker to Python XGBoost module directory

* Add docstring to XGBRegressor.predict() and XGBRanker.predict()

* Fix rendering errors in Python docstrings

* Fix lint
This commit is contained in:
Philip Hyunsu Cho
2018-08-22 18:59:30 -07:00
committed by GitHub
parent 4912c1f9c6
commit 4ed8a88240
8 changed files with 168 additions and 74 deletions

View File

@@ -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