diff --git a/jvm-packages/xgboost4j-example/src/main/scala/ml/dmlc/xgboost4j/scala/example/spark/DistTrainWithSpark.scala b/jvm-packages/xgboost4j-example/src/main/scala/ml/dmlc/xgboost4j/scala/example/spark/DistTrainWithSpark.scala
index ceec3d690..0c65ce59d 100644
--- a/jvm-packages/xgboost4j-example/src/main/scala/ml/dmlc/xgboost4j/scala/example/spark/DistTrainWithSpark.scala
+++ b/jvm-packages/xgboost4j-example/src/main/scala/ml/dmlc/xgboost4j/scala/example/spark/DistTrainWithSpark.scala
@@ -40,6 +40,6 @@ object DistTrainWithSpark {
       "objective" -> "binary:logistic").toMap
     val xgboostModel = XGBoost.train(trainRDD, paramMap, numRound)
     // save model to HDFS path
-    xgboostModel.saveModelToHadoop(outputModelPath)
+    xgboostModel.saveModelAsHadoopFile(outputModelPath)
   }
 }
diff --git a/jvm-packages/xgboost4j-spark/src/main/scala/ml/dmlc/xgboost4j/scala/spark/XGBoost.scala b/jvm-packages/xgboost4j-spark/src/main/scala/ml/dmlc/xgboost4j/scala/spark/XGBoost.scala
index d201a0cf8..a0551fba5 100644
--- a/jvm-packages/xgboost4j-spark/src/main/scala/ml/dmlc/xgboost4j/scala/spark/XGBoost.scala
+++ b/jvm-packages/xgboost4j-spark/src/main/scala/ml/dmlc/xgboost4j/scala/spark/XGBoost.scala
@@ -128,7 +128,8 @@ object XGBoost extends Serializable {
    * @param modelPath The path of the file representing the model
    * @return The loaded model
    */
-  def loadModelFromHadoop(modelPath: String)(implicit sparkContext: SparkContext): XGBoostModel = {
+  def loadModelFromHadoopFile(modelPath: String)(implicit sparkContext: SparkContext):
+      XGBoostModel = {
     val path = new Path(modelPath)
     val dataInStream = path.getFileSystem(sparkContext.hadoopConfiguration).open(path)
     val xgBoostModel = new XGBoostModel(SXGBoost.loadModel(dataInStream))
diff --git a/jvm-packages/xgboost4j-spark/src/main/scala/ml/dmlc/xgboost4j/scala/spark/XGBoostModel.scala b/jvm-packages/xgboost4j-spark/src/main/scala/ml/dmlc/xgboost4j/scala/spark/XGBoostModel.scala
index cbe562c8d..f577320b6 100644
--- a/jvm-packages/xgboost4j-spark/src/main/scala/ml/dmlc/xgboost4j/scala/spark/XGBoostModel.scala
+++ b/jvm-packages/xgboost4j-spark/src/main/scala/ml/dmlc/xgboost4j/scala/spark/XGBoostModel.scala
@@ -49,7 +49,7 @@ class XGBoostModel(booster: Booster)(implicit val sc: SparkContext) extends Seri
    *
    * @param modelPath The model path as in Hadoop path.
    */
-  def saveModelToHadoop(modelPath: String): Unit = {
+  def saveModelToHadoopFile(modelPath: String): Unit = {
     val path = new Path(modelPath)
     val outputStream = path.getFileSystem(sc.hadoopConfiguration).create(path)
     booster.saveModel(outputStream)
diff --git a/jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/XGBoostSuite.scala b/jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/XGBoostSuite.scala
index 91a12530a..513d54cdf 100644
--- a/jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/XGBoostSuite.scala
+++ b/jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/XGBoostSuite.scala
@@ -150,8 +150,8 @@ class XGBoostSuite extends FunSuite with BeforeAndAfter {
       "objective" -> "binary:logistic").toMap
     val xgBoostModel = XGBoost.train(trainingRDD, paramMap, 5)
     assert(eval.eval(xgBoostModel.predict(testSetDMatrix), testSetDMatrix) < 0.1)
-    xgBoostModel.saveModelToHadoop(tempFile.toFile.getAbsolutePath)
-    val loadedXGBooostModel = XGBoost.loadModelFromHadoop(tempFile.toFile.getAbsolutePath)
+    xgBoostModel.saveModelAsHadoopFile(tempFile.toFile.getAbsolutePath)
+    val loadedXGBooostModel = XGBoost.loadModelFromHadoopFile(tempFile.toFile.getAbsolutePath)
     val predicts = loadedXGBooostModel.predict(testSetDMatrix)
     assert(eval.eval(predicts, testSetDMatrix) < 0.1)
   }