diff --git a/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/BooleanSparseNdArray.java b/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/BooleanSparseNdArray.java
index f9e41bf..f5b984f 100644
--- a/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/BooleanSparseNdArray.java
+++ b/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/BooleanSparseNdArray.java
@@ -63,7 +63,7 @@ public class BooleanSparseNdArray extends AbstractSparseNdArray<Boolean, Boolean
     implements BooleanNdArray {
 
   /**
-   * Creates a BooleanSparseNdArray with a default value of false.
+   * Creates a BooleanSparseNdArray
    *
    * @param indices A 2-D LongNdArray of shape {@code [N, ndims]}, that specifies the indices of the
    *     elements in the sparse array that contain non-default values (elements are zero-indexed).
@@ -74,14 +74,19 @@ public class BooleanSparseNdArray extends AbstractSparseNdArray<Boolean, Boolean
    *     parameter {@code values=[18, 3.6]} specifies that element {@code [1,3]} of the sparse
    *     NdArray has a value of {@code 18}, and element {@code [2,4]} of the NdArray has a value of
    *     {@code 3.6}.
+   * @param defaultValue Scalar value to set for indices not specified in {@link #getIndices()}
    * @param dimensions the dimensional space for the dense object represented by this sparse array,
    */
-  BooleanSparseNdArray(LongNdArray indices, BooleanNdArray values, DimensionalSpace dimensions) {
-    this(indices, values, false, dimensions);
+  protected BooleanSparseNdArray(
+      LongNdArray indices,
+      BooleanNdArray values,
+      boolean defaultValue,
+      DimensionalSpace dimensions) {
+    super(indices, values, defaultValue, dimensions);
   }
 
   /**
-   * Creates a BooleanSparseNdArray
+   * Creates a BooleanSparseNdArray with a default value of false.
    *
    * @param indices A 2-D LongNdArray of shape {@code [N, ndims]}, that specifies the indices of the
    *     elements in the sparse array that contain non-default values (elements are zero-indexed).
@@ -92,15 +97,10 @@ public class BooleanSparseNdArray extends AbstractSparseNdArray<Boolean, Boolean
    *     parameter {@code values=[18, 3.6]} specifies that element {@code [1,3]} of the sparse
    *     NdArray has a value of {@code 18}, and element {@code [2,4]} of the NdArray has a value of
    *     {@code 3.6}.
-   * @param defaultValue Scalar value to set for indices not specified in {@link #getIndices()}
    * @param dimensions the dimensional space for the dense object represented by this sparse array,
    */
-  BooleanSparseNdArray(
-      LongNdArray indices,
-      BooleanNdArray values,
-      boolean defaultValue,
-      DimensionalSpace dimensions) {
-    super(indices, values, defaultValue, dimensions);
+  BooleanSparseNdArray(LongNdArray indices, BooleanNdArray values, DimensionalSpace dimensions) {
+    this(indices, values, false, dimensions);
   }
 
   /**
diff --git a/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/ByteSparseNdArray.java b/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/ByteSparseNdArray.java
index 540c79f..259aefe 100644
--- a/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/ByteSparseNdArray.java
+++ b/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/ByteSparseNdArray.java
@@ -63,7 +63,7 @@ public class ByteSparseNdArray extends AbstractSparseNdArray<Byte, ByteNdArray>
     implements ByteNdArray {
 
   /**
-   * Creates a ByteSparseNdArray
+   * Creates a ByteSparseNdArray with a default value of zero.
    *
    * @param indices A 2-D LongNdArray of shape {@code [N, ndims]}, that specifies the indices of the
    *     elements in the sparse array that contain non-default values (elements are zero-indexed).
@@ -73,14 +73,16 @@ public class ByteSparseNdArray extends AbstractSparseNdArray<Byte, ByteNdArray>
    *     each element in indices. For example, given {@code indices=[[1,3], [2,4]]}, the parameter
    *     {@code values=[18, 3.6]} specifies that element {@code [1,3]} of the sparse NdArray has a
    *     value of {@code 18}, and element {@code [2,4]} of the NdArray has a value of {@code 3.6}.
+   * @param defaultValue Scalar value to set for indices not specified in {@link #getIndices()}
    * @param dimensions the dimensional space for the dense object represented by this sparse array,
    */
-  ByteSparseNdArray(LongNdArray indices, ByteNdArray values, DimensionalSpace dimensions) {
-    this(indices, values, (byte) 0, dimensions);
+  protected ByteSparseNdArray(
+      LongNdArray indices, ByteNdArray values, byte defaultValue, DimensionalSpace dimensions) {
+    super(indices, values, defaultValue, dimensions);
   }
 
   /**
-   * Creates a ByteSparseNdArray with a default value of zero.
+   * Creates a ByteSparseNdArray
    *
    * @param indices A 2-D LongNdArray of shape {@code [N, ndims]}, that specifies the indices of the
    *     elements in the sparse array that contain non-default values (elements are zero-indexed).
@@ -90,12 +92,10 @@ public class ByteSparseNdArray extends AbstractSparseNdArray<Byte, ByteNdArray>
    *     each element in indices. For example, given {@code indices=[[1,3], [2,4]]}, the parameter
    *     {@code values=[18, 3.6]} specifies that element {@code [1,3]} of the sparse NdArray has a
    *     value of {@code 18}, and element {@code [2,4]} of the NdArray has a value of {@code 3.6}.
-   * @param defaultValue Scalar value to set for indices not specified in {@link #getIndices()}
    * @param dimensions the dimensional space for the dense object represented by this sparse array,
    */
-  ByteSparseNdArray(
-      LongNdArray indices, ByteNdArray values, byte defaultValue, DimensionalSpace dimensions) {
-    super(indices, values, defaultValue, dimensions);
+  ByteSparseNdArray(LongNdArray indices, ByteNdArray values, DimensionalSpace dimensions) {
+    this(indices, values, (byte) 0, dimensions);
   }
 
   /**
diff --git a/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/DoubleSparseNdArray.java b/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/DoubleSparseNdArray.java
index 27a0832..07a6d2a 100644
--- a/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/DoubleSparseNdArray.java
+++ b/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/DoubleSparseNdArray.java
@@ -63,7 +63,7 @@ public class DoubleSparseNdArray extends AbstractSparseNdArray<Double, DoubleNdA
     implements DoubleNdArray {
 
   /**
-   * Creates a DoubleSparseNdArray with a default value of zero.
+   * Creates a DoubleSparseNdArray
    *
    * @param indices A 2-D LongNdArray of shape {@code [N, ndims]}, that specifies the indices of the
    *     elements in the sparse array that contain non-default values (elements are zero-indexed).
@@ -73,14 +73,16 @@ public class DoubleSparseNdArray extends AbstractSparseNdArray<Double, DoubleNdA
    *     element in indices. For example, given {@code indices=[[1,3], [2,4]]}, the parameter {@code
    *     values=[18, 3.6]} specifies that element {@code [1,3]} of the sparse NdArray has a value of
    *     {@code 18}, and element {@code [2,4]} of the NdArray has a value of {@code 3.6}.
+   * @param defaultValue Scalar value to set for indices not specified in {@link #getIndices()}
    * @param dimensions the dimensional space for the dense object represented by this sparse array,
    */
-  DoubleSparseNdArray(LongNdArray indices, DoubleNdArray values, DimensionalSpace dimensions) {
-    this(indices, values, 0d, dimensions);
+  protected DoubleSparseNdArray(
+      LongNdArray indices, DoubleNdArray values, double defaultValue, DimensionalSpace dimensions) {
+    super(indices, values, defaultValue, dimensions);
   }
 
   /**
-   * Creates a DoubleSparseNdArray
+   * Creates a DoubleSparseNdArray with a default value of zero.
    *
    * @param indices A 2-D LongNdArray of shape {@code [N, ndims]}, that specifies the indices of the
    *     elements in the sparse array that contain non-default values (elements are zero-indexed).
@@ -90,12 +92,10 @@ public class DoubleSparseNdArray extends AbstractSparseNdArray<Double, DoubleNdA
    *     element in indices. For example, given {@code indices=[[1,3], [2,4]]}, the parameter {@code
    *     values=[18, 3.6]} specifies that element {@code [1,3]} of the sparse NdArray has a value of
    *     {@code 18}, and element {@code [2,4]} of the NdArray has a value of {@code 3.6}.
-   * @param defaultValue Scalar value to set for indices not specified in {@link #getIndices()}
    * @param dimensions the dimensional space for the dense object represented by this sparse array,
    */
-  DoubleSparseNdArray(
-      LongNdArray indices, DoubleNdArray values, double defaultValue, DimensionalSpace dimensions) {
-    super(indices, values, defaultValue, dimensions);
+  DoubleSparseNdArray(LongNdArray indices, DoubleNdArray values, DimensionalSpace dimensions) {
+    this(indices, values, 0d, dimensions);
   }
 
   /**
diff --git a/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/FloatSparseNdArray.java b/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/FloatSparseNdArray.java
index 11a3b05..9b224a0 100644
--- a/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/FloatSparseNdArray.java
+++ b/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/FloatSparseNdArray.java
@@ -63,7 +63,7 @@ public class FloatSparseNdArray extends AbstractSparseNdArray<Float, FloatNdArra
     implements FloatNdArray {
 
   /**
-   * Creates a FloatSparseNdArray with a default value of zero.
+   * Creates a FloatSparseNdArray
    *
    * @param indices A 2-D LongNdArray of shape {@code [N, ndims]}, that specifies the indices of the
    *     elements in the sparse array that contain non-default values (elements are zero-indexed).
@@ -73,14 +73,16 @@ public class FloatSparseNdArray extends AbstractSparseNdArray<Float, FloatNdArra
    *     element in indices. For example, given {@code indices=[[1,3], [2,4]]}, the parameter {@code
    *     values=[18, 3.6]} specifies that element {@code [1,3]} of the sparse NdArray has a value of
    *     {@code 18}, and element {@code [2,4]} of the NdArray has a value of {@code 3.6}.
+   * @param defaultValue Scalar value to set for indices not specified in {@link #getIndices()}
    * @param dimensions the dimensional space for the dense object represented by this sparse array,
    */
-  FloatSparseNdArray(LongNdArray indices, FloatNdArray values, DimensionalSpace dimensions) {
-    this(indices, values, 0f, dimensions);
+  protected FloatSparseNdArray(
+      LongNdArray indices, FloatNdArray values, float defaultValue, DimensionalSpace dimensions) {
+    super(indices, values, defaultValue, dimensions);
   }
 
   /**
-   * Creates a FloatSparseNdArray
+   * Creates a FloatSparseNdArray with a default value of zero.
    *
    * @param indices A 2-D LongNdArray of shape {@code [N, ndims]}, that specifies the indices of the
    *     elements in the sparse array that contain non-default values (elements are zero-indexed).
@@ -90,12 +92,10 @@ public class FloatSparseNdArray extends AbstractSparseNdArray<Float, FloatNdArra
    *     element in indices. For example, given {@code indices=[[1,3], [2,4]]}, the parameter {@code
    *     values=[18, 3.6]} specifies that element {@code [1,3]} of the sparse NdArray has a value of
    *     {@code 18}, and element {@code [2,4]} of the NdArray has a value of {@code 3.6}.
-   * @param defaultValue Scalar value to set for indices not specified in {@link #getIndices()}
    * @param dimensions the dimensional space for the dense object represented by this sparse array,
    */
-  FloatSparseNdArray(
-      LongNdArray indices, FloatNdArray values, float defaultValue, DimensionalSpace dimensions) {
-    super(indices, values, defaultValue, dimensions);
+  FloatSparseNdArray(LongNdArray indices, FloatNdArray values, DimensionalSpace dimensions) {
+    this(indices, values, 0f, dimensions);
   }
 
   /**
diff --git a/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/IntSparseNdArray.java b/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/IntSparseNdArray.java
index f822a42..757363f 100644
--- a/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/IntSparseNdArray.java
+++ b/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/IntSparseNdArray.java
@@ -63,7 +63,7 @@ public class IntSparseNdArray extends AbstractSparseNdArray<Integer, IntNdArray>
     implements IntNdArray {
 
   /**
-   * Creates a IntSparseNdArray with a default value of zero.
+   * Creates a IntSparseNdArray
    *
    * @param indices A 2-D LongNdArray of shape {@code [N, ndims]}, that specifies the indices of the
    *     elements in the sparse array that contain non-default values (elements are zero-indexed).
@@ -73,14 +73,16 @@ public class IntSparseNdArray extends AbstractSparseNdArray<Integer, IntNdArray>
    *     in indices. For example, given {@code indices=[[1,3], [2,4]]}, the parameter {@code
    *     values=[18, 3.6]} specifies that element {@code [1,3]} of the sparse NdArray has a value of
    *     {@code 18}, and element {@code [2,4]} of the NdArray has a value of {@code 3.6}.
+   * @param defaultValue Scalar value to set for indices not specified in {@link #getIndices()}
    * @param dimensions the dimensional space for the dense object represented by this sparse array,
    */
-  IntSparseNdArray(LongNdArray indices, IntNdArray values, DimensionalSpace dimensions) {
-    this(indices, values, 0, dimensions);
+  protected IntSparseNdArray(
+      LongNdArray indices, IntNdArray values, int defaultValue, DimensionalSpace dimensions) {
+    super(indices, values, defaultValue, dimensions);
   }
 
   /**
-   * Creates a IntSparseNdArray
+   * Creates a IntSparseNdArray with a default value of zero.
    *
    * @param indices A 2-D LongNdArray of shape {@code [N, ndims]}, that specifies the indices of the
    *     elements in the sparse array that contain non-default values (elements are zero-indexed).
@@ -90,12 +92,10 @@ public class IntSparseNdArray extends AbstractSparseNdArray<Integer, IntNdArray>
    *     in indices. For example, given {@code indices=[[1,3], [2,4]]}, the parameter {@code
    *     values=[18, 3.6]} specifies that element {@code [1,3]} of the sparse NdArray has a value of
    *     {@code 18}, and element {@code [2,4]} of the NdArray has a value of {@code 3.6}.
-   * @param defaultValue Scalar value to set for indices not specified in {@link #getIndices()}
    * @param dimensions the dimensional space for the dense object represented by this sparse array,
    */
-  IntSparseNdArray(
-      LongNdArray indices, IntNdArray values, int defaultValue, DimensionalSpace dimensions) {
-    super(indices, values, defaultValue, dimensions);
+  IntSparseNdArray(LongNdArray indices, IntNdArray values, DimensionalSpace dimensions) {
+    this(indices, values, 0, dimensions);
   }
 
   /**
diff --git a/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/LongSparseNdArray.java b/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/LongSparseNdArray.java
index 3385022..242ba50 100644
--- a/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/LongSparseNdArray.java
+++ b/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/LongSparseNdArray.java
@@ -62,7 +62,7 @@ public class LongSparseNdArray extends AbstractSparseNdArray<Long, LongNdArray>
     implements LongNdArray {
 
   /**
-   * Creates a LongSparseNdArray with a default value of zero.
+   * Creates a LongSparseNdArray
    *
    * @param indices A 2-D LongNdArray of shape {@code [N, ndims]}, that specifies the indices of the
    *     elements in the sparse array that contain non-default values (elements are zero-indexed).
@@ -72,14 +72,16 @@ public class LongSparseNdArray extends AbstractSparseNdArray<Long, LongNdArray>
    *     element in indices. For example, given {@code indices=[[1,3], [2,4]]}, the parameter {@code
    *     values=[18, 3.6]} specifies that element {@code [1,3]} of the sparse NdArray has a value of
    *     {@code 18}, and element {@code [2,4]} of the NdArray has a value of {@code 3.6}.
+   * @param defaultValue Scalar value to set for indices not specified in {@link #getIndices()}
    * @param dimensions the dimensional space for the dense object represented by this sparse array,
    */
-  LongSparseNdArray(LongNdArray indices, LongNdArray values, DimensionalSpace dimensions) {
-    this(indices, values, 0L, dimensions);
+  protected LongSparseNdArray(
+      LongNdArray indices, LongNdArray values, long defaultValue, DimensionalSpace dimensions) {
+    super(indices, values, defaultValue, dimensions);
   }
 
   /**
-   * Creates a LongSparseNdArray
+   * Creates a LongSparseNdArray with a default value of zero.
    *
    * @param indices A 2-D LongNdArray of shape {@code [N, ndims]}, that specifies the indices of the
    *     elements in the sparse array that contain non-default values (elements are zero-indexed).
@@ -89,12 +91,10 @@ public class LongSparseNdArray extends AbstractSparseNdArray<Long, LongNdArray>
    *     element in indices. For example, given {@code indices=[[1,3], [2,4]]}, the parameter {@code
    *     values=[18, 3.6]} specifies that element {@code [1,3]} of the sparse NdArray has a value of
    *     {@code 18}, and element {@code [2,4]} of the NdArray has a value of {@code 3.6}.
-   * @param defaultValue Scalar value to set for indices not specified in {@link #getIndices()}
    * @param dimensions the dimensional space for the dense object represented by this sparse array,
    */
-  LongSparseNdArray(
-      LongNdArray indices, LongNdArray values, long defaultValue, DimensionalSpace dimensions) {
-    super(indices, values, defaultValue, dimensions);
+  LongSparseNdArray(LongNdArray indices, LongNdArray values, DimensionalSpace dimensions) {
+    this(indices, values, 0L, dimensions);
   }
 
   /**
diff --git a/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/ShortSparseNdArray.java b/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/ShortSparseNdArray.java
index 50793b9..63dde22 100644
--- a/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/ShortSparseNdArray.java
+++ b/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/ShortSparseNdArray.java
@@ -63,7 +63,7 @@ public class ShortSparseNdArray extends AbstractSparseNdArray<Short, ShortNdArra
     implements ShortNdArray {
 
   /**
-   * Creates a ShortSparseNdArray with a default value of zero.
+   * Creates a ShortSparseNdArray
    *
    * @param indices A 2-D LongNdArray of shape {@code [N, ndims]}, that specifies the indices of the
    *     elements in the sparse array that contain non-default values (elements are zero-indexed).
@@ -73,14 +73,16 @@ public class ShortSparseNdArray extends AbstractSparseNdArray<Short, ShortNdArra
    *     element in indices. For example, given {@code indices=[[1,3], [2,4]]}, the parameter {@code
    *     values=[18, 3.6]} specifies that element {@code [1,3]} of the sparse NdArray has a value of
    *     {@code 18}, and element {@code [2,4]} of the NdArray has a value of {@code 3.6}.
+   * @param defaultValue Scalar value to set for indices not specified in {@link #getIndices()}
    * @param dimensions the dimensional space for the dense object represented by this sparse array,
    */
-  ShortSparseNdArray(LongNdArray indices, ShortNdArray values, DimensionalSpace dimensions) {
-    this(indices, values, (short) 0, dimensions);
+  protected ShortSparseNdArray(
+      LongNdArray indices, ShortNdArray values, short defaultValue, DimensionalSpace dimensions) {
+    super(indices, values, defaultValue, dimensions);
   }
 
   /**
-   * Creates a ShortSparseNdArray
+   * Creates a ShortSparseNdArray with a default value of zero.
    *
    * @param indices A 2-D LongNdArray of shape {@code [N, ndims]}, that specifies the indices of the
    *     elements in the sparse array that contain non-default values (elements are zero-indexed).
@@ -90,12 +92,10 @@ public class ShortSparseNdArray extends AbstractSparseNdArray<Short, ShortNdArra
    *     element in indices. For example, given {@code indices=[[1,3], [2,4]]}, the parameter {@code
    *     values=[18, 3.6]} specifies that element {@code [1,3]} of the sparse NdArray has a value of
    *     {@code 18}, and element {@code [2,4]} of the NdArray has a value of {@code 3.6}.
-   * @param defaultValue Scalar value to set for indices not specified in {@link #getIndices()}
    * @param dimensions the dimensional space for the dense object represented by this sparse array,
    */
-  ShortSparseNdArray(
-      LongNdArray indices, ShortNdArray values, short defaultValue, DimensionalSpace dimensions) {
-    super(indices, values, defaultValue, dimensions);
+  ShortSparseNdArray(LongNdArray indices, ShortNdArray values, DimensionalSpace dimensions) {
+    this(indices, values, (short) 0, dimensions);
   }
 
   /**
diff --git a/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/SparseNdArray.java b/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/SparseNdArray.java
index 2c69fc9..bdf3d51 100644
--- a/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/SparseNdArray.java
+++ b/ndarray/src/main/java/org/tensorflow/ndarray/impl/sparse/SparseNdArray.java
@@ -63,7 +63,7 @@ public class SparseNdArray<T, U extends NdArray<T>> extends AbstractSparseNdArra
   private final Class<T> type;
 
   /**
-   * Creates a SparseNdArray with a default value of null.
+   * Creates a SparseNdArray
    *
    * @param indices A 2-D LongNdArray of shape {@code [N, ndims]}, that specifies the indices of the
    *     elements in the sparse array that contain non-default values (elements are zero-indexed).
@@ -74,14 +74,17 @@ public class SparseNdArray<T, U extends NdArray<T>> extends AbstractSparseNdArra
    *     parameter {@code values=[18, 3.6]} specifies that element {@code [1,3]} of the sparse
    *     NdArray has a value of {@code 18}, and element {@code [2,4]} of the NdArray has a value of
    *     {@code 3.6}.
+   * @param defaultValue Scalar value to set for indices not specified in {@link #getIndices()}
    * @param dimensions the dimensional space for the dense object represented by this sparse array,
    */
-  SparseNdArray(Class<T> type, LongNdArray indices, U values, DimensionalSpace dimensions) {
-    this(type, indices, values, null, dimensions);
+  protected SparseNdArray(
+      Class<T> type, LongNdArray indices, U values, T defaultValue, DimensionalSpace dimensions) {
+    super(indices, values, defaultValue, dimensions);
+    this.type = type;
   }
 
   /**
-   * Creates a SparseNdArray
+   * Creates a SparseNdArray with a default value of null.
    *
    * @param indices A 2-D LongNdArray of shape {@code [N, ndims]}, that specifies the indices of the
    *     elements in the sparse array that contain non-default values (elements are zero-indexed).
@@ -92,13 +95,10 @@ public class SparseNdArray<T, U extends NdArray<T>> extends AbstractSparseNdArra
    *     parameter {@code values=[18, 3.6]} specifies that element {@code [1,3]} of the sparse
    *     NdArray has a value of {@code 18}, and element {@code [2,4]} of the NdArray has a value of
    *     {@code 3.6}.
-   * @param defaultValue Scalar value to set for indices not specified in {@link #getIndices()}
    * @param dimensions the dimensional space for the dense object represented by this sparse array,
    */
-  SparseNdArray(
-      Class<T> type, LongNdArray indices, U values, T defaultValue, DimensionalSpace dimensions) {
-    super(indices, values, defaultValue, dimensions);
-    this.type = type;
+  SparseNdArray(Class<T> type, LongNdArray indices, U values, DimensionalSpace dimensions) {
+    this(type, indices, values, null, dimensions);
   }
 
   /**