diff --git a/mllib/src/main/scala/org/apache/spark/ml/classification/LinearSVC.scala b/mllib/src/main/scala/org/apache/spark/ml/classification/LinearSVC.scala
index f76b14eeeb54..7507c7539d4e 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/classification/LinearSVC.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/classification/LinearSVC.scala
@@ -458,9 +458,7 @@ private class LinearSVCAggregator(
    */
   def add(instance: Instance): this.type = {
     instance match { case Instance(label, weight, features) =>
-      require(weight >= 0.0, s"instance weight, $weight has to be >= 0.0")
-      require(numFeatures == features.size, s"Dimensions mismatch when adding new instance." +
-        s" Expecting $numFeatures but got ${features.size}.")
+
       if (weight == 0.0) return this
       val localFeaturesStd = bcFeaturesStd.value
       val localCoefficients = coefficientsArray
@@ -512,6 +510,7 @@ private class LinearSVCAggregator(
    * @return This LinearSVCAggregator object.
    */
   def merge(other: LinearSVCAggregator): this.type = {
+
     if (other.weightSum != 0.0) {
       weightSum += other.weightSum
       lossSum += other.lossSum
diff --git a/mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala b/mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala
index f7e3c8fa5b6e..eaad54985229 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala
@@ -971,9 +971,6 @@ private class LeastSquaresAggregator(
    */
   def add(instance: Instance): this.type = {
     instance match { case Instance(label, weight, features) =>
-      require(dim == features.size, s"Dimensions mismatch when adding new sample." +
-        s" Expecting $dim but got ${features.size}.")
-      require(weight >= 0.0, s"instance weight, $weight has to be >= 0.0")
 
       if (weight == 0.0) return this
 
@@ -1005,8 +1002,6 @@ private class LeastSquaresAggregator(
    * @return This LeastSquaresAggregator object.
    */
   def merge(other: LeastSquaresAggregator): this.type = {
-    require(dim == other.dim, s"Dimensions mismatch when merging with another " +
-      s"LeastSquaresAggregator. Expecting $dim but got ${other.dim}.")
 
     if (other.weightSum != 0) {
       totalCnt += other.totalCnt