[doc] Add missing document for pyspark ranker. [skip ci] (#8692)

doc/python/python_api.rst

@@ -173,3 +173,13 @@ PySpark API
     :members:
     :inherited-members:
     :show-inheritance:
+
+.. autoclass:: xgboost.spark.SparkXGBRanker
+    :members:
+    :inherited-members:
+    :show-inheritance:
+
+.. autoclass:: xgboost.spark.SparkXGBRankerModel
+    :members:
+    :inherited-members:
+    :show-inheritance:

doc/tutorials/spark_estimator.rst

@@ -45,7 +45,7 @@ such as ``weight_col``, ``validation_indicator_col``, ``use_gpu``, for details p
 
 The following code snippet shows how to train a spark xgboost regressor model,
 first we need to prepare a training dataset as a spark dataframe contains
-"label" column and "features" column(s), the "features" column(s) must be ``pyspark.ml.linalg.Vector`
+"label" column and "features" column(s), the "features" column(s) must be ``pyspark.ml.linalg.Vector``
 type or spark array type or a list of feature column names.
 
 
@@ -56,7 +56,7 @@ type or spark array type or a list of feature column names.
 
 The following code snippet shows how to predict test data using a spark xgboost regressor model,
 first we need to prepare a test dataset as a spark dataframe contains
-"features" and "label" column, the "features" column must be ``pyspark.ml.linalg.Vector`
+"features" and "label" column, the "features" column must be ``pyspark.ml.linalg.Vector``
 type or spark array type.
 
 .. code-block:: python

python-package/xgboost/spark/__init__.py

@@ -1,5 +1,4 @@
-"""PySpark XGBoost integration interface
-"""
+"""PySpark XGBoost integration interface"""
 
 try:
     import pyspark
@@ -10,6 +9,7 @@ from .estimator import (
     SparkXGBClassifier,
     SparkXGBClassifierModel,
     SparkXGBRanker,
+    SparkXGBRankerModel,
     SparkXGBRegressor,
     SparkXGBRegressorModel,
 )
@@ -20,4 +20,5 @@ __all__ = [
     "SparkXGBRegressor",
     "SparkXGBRegressorModel",
     "SparkXGBRanker",
+    "SparkXGBRankerModel",
 ]