Bug fix of sparse vector conversion

Fixed a small bug caused by the inconsistency of index/data array size and vector length.

Author: Funes <[email protected]>
Author: funes <[email protected]>

Closes apache#661 from funes/bugfix and squashes the following commits:

edb2b9d [funes] remove unused import
75dced3 [Funes] update test case
d129a66 [Funes] Add test for sparse breeze by vector builder
64e7198 [Funes] Copy data only when necessary
b85806c [Funes] Bug fix of sparse vector conversion

Author: funes

mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala

@@ -136,7 +136,11 @@ object Vectors {
           new DenseVector(v.toArray)  // Can't use underlying array directly, so make a new one
         }
       case v: BSV[Double] =>
-        new SparseVector(v.length, v.index, v.data)
+        if (v.index.length == v.used) {
+          new SparseVector(v.length, v.index, v.data)
+        } else {
+          new SparseVector(v.length, v.index.slice(0, v.used), v.data.slice(0, v.used))
+        }
       case v: BV[_] =>
         sys.error("Unsupported Breeze vector type: " + v.getClass.getName)
     }

mllib/src/test/scala/org/apache/spark/mllib/linalg/BreezeVectorConversionSuite.scala

@@ -55,4 +55,13 @@ class BreezeVectorConversionSuite extends FunSuite {
     assert(vec.indices.eq(indices), "should not copy data")
     assert(vec.values.eq(values), "should not copy data")
   }
+
+  test("sparse breeze with partially-used arrays to vector") {
+    val activeSize = 3
+    val breeze = new BSV[Double](indices, values, activeSize, n)
+    val vec = Vectors.fromBreeze(breeze).asInstanceOf[SparseVector]
+    assert(vec.size === n)
+    assert(vec.indices === indices.slice(0, activeSize))
+    assert(vec.values === values.slice(0, activeSize))
+  }
 }