本文整理汇总了Java中cc.mallet.types.SparseVector.plusEqualsSparse方法的典型用法代码示例。如果您正苦于以下问题：Java SparseVector.plusEqualsSparse方法的具体用法？Java SparseVector.plusEqualsSparse怎么用？Java SparseVector.plusEqualsSparse使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类cc.mallet.types.SparseVector的用法示例。
在下文中一共展示了SparseVector.plusEqualsSparse方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: testBinaryVector
import cc.mallet.types.SparseVector; //导入方法依赖的package包/类
public void testBinaryVector ()
{
SparseVector binary1 = new SparseVector (idxs, null, idxs.length, idxs.length,
false, false, false);
SparseVector binary2 = new SparseVector (idx2, null, idx2.length, idx2.length,
false, false, false);
assertEquals (3, binary1.dotProduct (binary2), 0.0001);
assertEquals (3, binary2.dotProduct (binary1), 0.0001);
assertEquals (15.0, binary1.dotProduct (s1), 0.0001);
assertEquals (15.0, s1.dotProduct (binary1), 0.0001);
assertEquals (9.0, binary2.dotProduct (s1), 0.0001);
assertEquals (9.0, s1.dotProduct (binary2), 0.0001);
SparseVector dblVec = (SparseVector) s1.cloneMatrix ();
dblVec.plusEqualsSparse (binary1);
checkAnswer (dblVec, new double[] { 2, 3, 4, 5, 6 });
SparseVector dblVec2 = (SparseVector) s1.cloneMatrix ();
dblVec2.plusEqualsSparse (binary2);
checkAnswer (dblVec2, new double[] { 2, 2, 4, 4, 6 });
}
示例2: testPlusEquals
import cc.mallet.types.SparseVector; //导入方法依赖的package包/类
public void testPlusEquals ()
{
SparseVector s = (SparseVector) s1.cloneMatrix ();
s.plusEqualsSparse (s2, 2.0);
checkAnswer (s, new double[] { 3, 5, 7, 6, 7 });
SparseVector s2p = new SparseVector
(new int[] { 13 },
new double[] { 0.8 });
s.plusEqualsSparse (s2p, 1.0);
checkAnswer (s, new double[] { 3, 5, 7, 6.8, 7 });
SparseVector s3p = new SparseVector
(new int[] { 14 },
new double[] { 0.8 });
s.plusEqualsSparse (s3p, 1.0);
checkAnswer (s, new double[] { 3, 5, 7, 6.8, 7 }); // verify s unchanged
SparseVector s4 = new SparseVector
(new int[] { 7, 14, 15 },
new double[] { 0.2, 0.8, 1.2 });
s.plusEqualsSparse (s4, 1.0);
checkAnswer (s, new double[] { 3, 5, 7.2, 6.8, 8.2 });
SparseVector s5 = new SparseVector (new int[] { 7 }, new double[] { 0.2 });
s5.plusEqualsSparse (s1);
for (int i = 0; i < s5.numLocations(); i++) {
assertEquals (7, s5.indexAtLocation (i));
assertEquals (3.2, s5.valueAtLocation (i), 0.0);
}
SparseVector s6 = new SparseVector (new int[] { 7 }, new double[] { 0.2 });
s6.plusEqualsSparse (s1, 3.5);
for (int i = 0; i < s6.numLocations(); i++) {
assertEquals (7, s6.indexAtLocation (i));
assertEquals (10.7, s6.valueAtLocation (i), 0.0);
}
}
示例3: testDenseSparseVector
import cc.mallet.types.SparseVector; //导入方法依赖的package包/类
public void testDenseSparseVector ()
{
SparseVector svDense = new SparseVector (null, dbl3);
double sdot = svDense.dotProduct (svDense);
double ddot = d1.dotProduct (d1);
assertEquals (sdot, ddot, 0.0001);
svDense.plusEqualsSparse (s1);
checkAnswer (svDense, new double[] { 2.0, 2.5, 3.0, 5.7, 3.5,
5.6, 0, 3, 0, 0,
0, 0, 0, 4, 0,
5, });
svDense.plusEqualsSparse (s1, 2.0);
checkAnswer (svDense, new double[] { 2.0, 2.5, 3.0, 7.7, 3.5,
9.6, 0, 9, 0, 0,
0, 0, 0, 12, 0,
15, });
double[] dbl4 = new double [dbl3.length + 1];
for (int i = 0; i < dbl4.length; i++) dbl4[i] = 2.0;
SparseVector sv4 = new SparseVector (null, dbl4);
svDense.plusEqualsSparse (sv4);
checkAnswer (svDense, new double[] { 4.0, 4.5, 5.0, 9.7, 5.5,
11.6, 2.0, 11.0, 2.0, 2.0,
2, 2, 2, 14, 2.0,
17, });
}