@@ -80,29 +80,29 @@ class VectorsSuite extends FunSuite {
8080 }
8181
8282 test(" sparse argmax" ) {
83- val vec = Vectors .sparse(0 ,Array .empty[Int ],Array .empty[Double ]).asInstanceOf [SparseVector ]
83+ val vec = Vectors .sparse(0 , Array .empty[Int ], Array .empty[Double ]).asInstanceOf [SparseVector ]
8484 assert(vec.argmax === - 1 )
8585
86- val vec2 = Vectors .sparse(n,indices,values).asInstanceOf [SparseVector ]
86+ val vec2 = Vectors .sparse(n, indices, values).asInstanceOf [SparseVector ]
8787 assert(vec2.argmax === 3 )
8888
89- val vec3 = Vectors .sparse(5 ,Array (2 , 3 , 4 ),Array (1.0 , 0.0 , - .7 ))
89+ val vec3 = Vectors .sparse(5 , Array (2 , 3 , 4 ), Array (1.0 , 0.0 , - .7 ))
9090 assert(vec3.argmax === 2 )
9191
9292 // check for case that sparse vector is created with only negative values {0.0, 0.0,-1.0, -0.7, 0.0}
93- val vec4 = Vectors .sparse(5 ,Array (2 , 3 ),Array (- 1.0 , - .7 ))
93+ val vec4 = Vectors .sparse(5 , Array (2 , 3 ), Array (- 1.0 , - .7 ))
9494 assert(vec4.argmax === 0 )
9595
96- val vec5 = Vectors .sparse(11 ,Array (0 , 3 , 10 ),Array (- 1.0 , - .7 , 0.0 ))
96+ val vec5 = Vectors .sparse(11 , Array (0 , 3 , 10 ), Array (- 1.0 , - .7 , 0.0 ))
9797 assert(vec5.argmax === 1 )
9898
99- val vec6 = Vectors .sparse(11 ,Array (0 , 1 , 2 ),Array (- 1.0 , - .7 , 0.0 ))
99+ val vec6 = Vectors .sparse(11 , Array (0 , 1 , 2 ), Array (- 1.0 , - .7 , 0.0 ))
100100 assert(vec6.argmax === 2 )
101101
102- val vec7 = Vectors .sparse(5 ,Array (0 , 1 , 3 ),Array (- 1.0 , 0.0 , - .7 ))
102+ val vec7 = Vectors .sparse(5 , Array (0 , 1 , 3 ), Array (- 1.0 , 0.0 , - .7 ))
103103 assert(vec7.argmax === 1 )
104104
105- var vec8 = Vectors .sparse(5 ,Array (1 , 2 ),Array (0.0 , - 1.0 ))
105+ val vec8 = Vectors .sparse(5 , Array (1 , 2 ), Array (0.0 , - 1.0 ))
106106 assert(vec8.argmax === 0 )
107107 }
108108
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