diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index b79615b..24883be 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -6,7 +6,7 @@ CHANGELOG
 ========
 
 * pyspark: SageMakerModel: Fix bugs in creating model from training job, s3 file and endpoint
-
+* spark/pyspark: XGBoostSageMakerEstimator: Fix seed hyperparameter to use correct type (Int)
 
 1.0.4
 =====
diff --git a/sagemaker-pyspark-sdk/src/sagemaker_pyspark/algorithms/XGBoostSageMakerEstimator.py b/sagemaker-pyspark-sdk/src/sagemaker_pyspark/algorithms/XGBoostSageMakerEstimator.py
index ce56700..92c183f 100644
--- a/sagemaker-pyspark-sdk/src/sagemaker_pyspark/algorithms/XGBoostSageMakerEstimator.py
+++ b/sagemaker-pyspark-sdk/src/sagemaker_pyspark/algorithms/XGBoostSageMakerEstimator.py
@@ -331,7 +331,7 @@ class XGBoostSageMakerEstimator(SageMakerEstimatorBase):
     seed = Param(
         Params._dummy(), "seed",
         "Random number seed",
-        typeConverter=TypeConverters.toFloat)
+        typeConverter=TypeConverters.toInt)
 
     num_round = Param(
         Params._dummy(), "num_round",
diff --git a/sagemaker-spark-sdk/src/main/scala/com/amazonaws/services/sagemaker/sparksdk/algorithms/XGBoostSageMakerEstimator.scala b/sagemaker-spark-sdk/src/main/scala/com/amazonaws/services/sagemaker/sparksdk/algorithms/XGBoostSageMakerEstimator.scala
index 4271b65..84dd1ab 100644
--- a/sagemaker-spark-sdk/src/main/scala/com/amazonaws/services/sagemaker/sparksdk/algorithms/XGBoostSageMakerEstimator.scala
+++ b/sagemaker-spark-sdk/src/main/scala/com/amazonaws/services/sagemaker/sparksdk/algorithms/XGBoostSageMakerEstimator.scala
@@ -379,8 +379,8 @@ private[algorithms] trait XGBoostParams extends Params {
   /** Random number seed.
     * Default = 0
     */
-  val seed: DoubleParam = new DoubleParam(this, "seed", "Random number seed.")
-  def getSeed: Double = $(seed)
+  val seed: IntParam = new IntParam(this, "seed", "Random number seed.")
+  def getSeed: Int = $(seed)
 
   /**
     * Number of rounds for gradient boosting. Must be >= 1. Required.
@@ -614,7 +614,7 @@ class XGBoostSageMakerEstimator(
 
   def setEvalMetric(value: String) : this.type = set(evalMetric, value)
 
-  def setSeed(value: Double) : this.type = set(seed, value)
+  def setSeed(value: Int) : this.type = set(seed, value)
 
   def setNumRound(value: Int) : this.type = set(numRound, value)
 
diff --git a/sagemaker-spark-sdk/src/test/scala/com/amazonaws/services/sagemaker/sparksdk/algorithms/XGBoostSageMakerEstimatorTests.scala b/sagemaker-spark-sdk/src/test/scala/com/amazonaws/services/sagemaker/sparksdk/algorithms/XGBoostSageMakerEstimatorTests.scala
index cbfb55d..8218cb0 100644
--- a/sagemaker-spark-sdk/src/test/scala/com/amazonaws/services/sagemaker/sparksdk/algorithms/XGBoostSageMakerEstimatorTests.scala
+++ b/sagemaker-spark-sdk/src/test/scala/com/amazonaws/services/sagemaker/sparksdk/algorithms/XGBoostSageMakerEstimatorTests.scala
@@ -301,7 +301,7 @@ class XGBoostSageMakerEstimatorTests extends FlatSpec with Matchers with Mockito
 
 
   it should "setSeed" in {
-    val seed = 10.0
+    val seed = 10
     estimator.setSeed(seed)
     assert(seed == estimator.getSeed)
   }
@@ -381,7 +381,7 @@ class XGBoostSageMakerEstimatorTests extends FlatSpec with Matchers with Mockito
       "objective" -> "reg:logistic",
       "base_score" -> "0.5",
       "eval_metric" -> "mae",
-      "seed" -> "0.0"
+      "seed" -> "0"
     )
 
     assert(hyperParamMap.asJava == estimator.makeHyperParameters())