getStorageLevel -> storageLevel

yanboliang · yanboliang · commit 1b7b1d5b0786 · 2017-09-13T20:02:04.000+08:00
diff --git a/python/pyspark/ml/classification.py b/python/pyspark/ml/classification.py
@@ -1659,7 +1659,7 @@ def _fit(self, dataset):
             multiclassLabeled = dataset.select(labelCol, featuresCol)
 
         # persist if underlying dataset is not persistent.
-        handlePersistence = dataset.getStorageLevel() == StorageLevel(False, False, False, False)
+        handlePersistence = dataset.storageLevel == StorageLevel(False, False, False, False)
         if handlePersistence:
             multiclassLabeled.persist(StorageLevel.MEMORY_AND_DISK)
 
@@ -1813,7 +1813,7 @@ def _transform(self, dataset):
         newDataset = dataset.withColumn(accColName, initUDF(dataset[origCols[0]]))
 
         # persist if underlying dataset is not persistent.
-        handlePersistence = dataset.getStorageLevel() == StorageLevel(False, False, False, False)
+        handlePersistence = dataset.storageLevel == StorageLevel(False, False, False, False)
         if handlePersistence:
             newDataset.persist(StorageLevel.MEMORY_AND_DISK)
 
