fix: Pass the 'params' parameter to the underlying 'BatchPredictReque…

google/cloud/automl_v1beta1/services/tables/tables_client.py

@@ -2999,7 +2999,10 @@ def batch_predict(
             )
 
         req = google.cloud.automl_v1beta1.BatchPredictRequest(
-            name=model_name, input_config=input_request, output_config=output_request,
+            name=model_name,
+            input_config=input_request,
+            output_config=output_request,
+            params=params,
         )
 
         method_kwargs = self.__process_request_kwargs(req, **kwargs)

tests/unit/test_tables_client_v1beta1.py

@@ -1599,6 +1599,24 @@ def test_batch_predict_bigquery(self):
             )
         )
 
+    def test_batch_predict_bigquery_with_params(self):
+        client = self.tables_client({}, {})
+        client.batch_predict(
+            model_name="my_model",
+            bigquery_input_uri="bq://input",
+            bigquery_output_uri="bq://output",
+            params={"feature_importance": "true"},
+        )
+
+        client.prediction_client.batch_predict.assert_called_with(
+            request=automl_v1beta1.BatchPredictRequest(
+                name="my_model",
+                input_config={"bigquery_source": {"input_uri": "bq://input"}},
+                output_config={"bigquery_destination": {"output_uri": "bq://output"}},
+                params={"feature_importance": "true"},
+            )
+        )
+
     def test_batch_predict_mixed(self):
         client = self.tables_client({}, {})
         client.batch_predict(