Fix pyspark parameter. (#9460)

- Don't pass the `use_gpu` parameter to the learner.
- Fix GPU approx with PySpark.

tests/test_distributed/test_with_spark/test_spark_local.py

@@ -456,7 +456,9 @@ def check_sub_dict_match(
             assert sub_dist[k] == whole_dict[k], f"check on {k} failed"
 
 
-def get_params_map(params_kv: dict, estimator: Type) -> dict:
+def get_params_map(
+    params_kv: dict, estimator: xgb.spark.core._SparkXGBEstimator
+) -> dict:
     return {getattr(estimator, k): v for k, v in params_kv.items()}
 
 
@@ -870,10 +872,10 @@ class TestPySparkLocal:
 
     def test_device_param(self, reg_data: RegData, clf_data: ClfData) -> None:
         clf = SparkXGBClassifier(device="cuda", tree_method="exact")
-        with pytest.raises(ValueError, match="not supported on GPU"):
+        with pytest.raises(ValueError, match="not supported for distributed"):
             clf.fit(clf_data.cls_df_train)
         regressor = SparkXGBRegressor(device="cuda", tree_method="exact")
-        with pytest.raises(ValueError, match="not supported on GPU"):
+        with pytest.raises(ValueError, match="not supported for distributed"):
             regressor.fit(reg_data.reg_df_train)
 
         reg = SparkXGBRegressor(device="cuda", tree_method="gpu_hist")