diff --git a/mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala b/mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala
index 116f0f650785..3ffed39898d8 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala
@@ -1044,7 +1044,8 @@ class GeneralizedLinearRegressionSummary private[regression] (
    */
   @Since("2.0.0")
   lazy val dispersion: Double = if (
-    model.getFamily == Binomial.name || model.getFamily == Poisson.name) {
+    model.getFamily.toLowerCase == Binomial.name ||
+      model.getFamily.toLowerCase == Poisson.name) {
     1.0
   } else {
     val rss = pearsonResiduals.agg(sum(pow(col("pearsonResiduals"), 2.0))).first().getDouble(0)
@@ -1147,7 +1148,8 @@ class GeneralizedLinearRegressionTrainingSummary private[regression] (
   @Since("2.0.0")
   lazy val pValues: Array[Double] = {
     if (isNormalSolver) {
-      if (model.getFamily == Binomial.name || model.getFamily == Poisson.name) {
+      if (model.getFamily.toLowerCase == Binomial.name ||
+        model.getFamily.toLowerCase == Poisson.name) {
         tValues.map { x => 2.0 * (1.0 - dist.Gaussian(0.0, 1.0).cdf(math.abs(x))) }
       } else {
         tValues.map { x =>
diff --git a/mllib/src/test/scala/org/apache/spark/ml/regression/GeneralizedLinearRegressionSuite.scala b/mllib/src/test/scala/org/apache/spark/ml/regression/GeneralizedLinearRegressionSuite.scala
index 9f3d643c2bb0..e3c278777c5f 100644
--- a/mllib/src/test/scala/org/apache/spark/ml/regression/GeneralizedLinearRegressionSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/ml/regression/GeneralizedLinearRegressionSuite.scala
@@ -758,7 +758,7 @@ class GeneralizedLinearRegressionSuite
        0.028480  0.069123  0.935495 -0.049613
     */
     val trainer = new GeneralizedLinearRegression()
-      .setFamily("binomial")
+      .setFamily("Binomial")
       .setWeightCol("weight")
       .setFitIntercept(false)
 
@@ -875,7 +875,7 @@ class GeneralizedLinearRegressionSuite
        -0.4378554  0.2189277  0.1459518 -0.1094638
      */
     val trainer = new GeneralizedLinearRegression()
-      .setFamily("poisson")
+      .setFamily("Poisson")
       .setWeightCol("weight")
       .setFitIntercept(true)