aggregate_spatial does not support target_dimension at the moment

refs: Open-EO/openeo-geopyspark-driver#951 Open-EO/openeo-geopyspark-driver@d4b550c
Open-EO · Dec 6, 2024 · 816b3b9 · 816b3b9
1 parent c2836ed
commit 816b3b9
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/tests/test_integration.py b/tests/test_integration.py
@@ -872,7 +872,7 @@ def test_random_forest_train_and_load_from_jobid(auth_connection: openeo.Connect
         temporal_extent=["2017-11-01", "2017-11-01"]
     )
     cube_xyb: DataCube = cube_xybt.reduce_dimension(dimension="t", reducer="mean")
-    predictors: DataCube = cube_xyb.aggregate_spatial(FEATURE_COLLECTION_1, reducer="mean", target_dimension="bands")
+    predictors: DataCube = cube_xyb.aggregate_spatial(FEATURE_COLLECTION_1, reducer="mean")
     model: MlModel = predictors.fit_class_random_forest(target=FEATURE_COLLECTION_1, num_trees=3, seed=42)
     model: MlModel = model.save_ml_model()
     job: BatchJob = model.create_job(title=auto_title + " train")
@@ -988,7 +988,7 @@ def test_catboost_training(auth_connection: openeo.Connection, tmp_path, auto_ti
         temporal_extent=["2017-11-01", "2017-11-01"]
     )
     cube_xyb: DataCube = cube_xybt.reduce_dimension(dimension="t", reducer="mean")
-    predictors: DataCube = cube_xyb.aggregate_spatial(FEATURE_COLLECTION_1, reducer="mean", target_dimension="bands")
+    predictors: DataCube = cube_xyb.aggregate_spatial(FEATURE_COLLECTION_1, reducer="mean")
     pgnode = PGNode(
         process_id="fit_class_catboost",
         arguments=dict_no_none(