本文整理汇总了Java中cc.mallet.util.Maths.sumLogProb方法的典型用法代码示例。如果您正苦于以下问题：Java Maths.sumLogProb方法的具体用法？Java Maths.sumLogProb怎么用？Java Maths.sumLogProb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.util.Maths的用法示例。
在下文中一共展示了Maths.sumLogProb方法的4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: testSumLogProb
import cc.mallet.util.Maths; //导入方法依赖的package包/类
public void testSumLogProb ()
{
double[] vals = { 53.0, 1.56e4, 0.0045, 672.563, 1e-15 };
double[] logVals = new double [vals.length];
for (int i = 0; i < vals.length; i++)
logVals [i] = Math.log (vals[i]);
double sum = MatrixOps.sum (vals);
double lsum2 = Double.NEGATIVE_INFINITY;
for (int i = 0; i < logVals.length; i++) {
lsum2 = Maths.sumLogProb (lsum2, logVals [i]);
}
assertEquals (sum, Math.exp(lsum2), 1e-5);
double lsum = Maths.sumLogProb (logVals);
assertEquals (sum, Math.exp (lsum), 1e-5);
}
示例2: computeValueGradientForAssn
import cc.mallet.util.Maths; //导入方法依赖的package包/类
private double computeValueGradientForAssn (Assignment observations, ACRF.UnrolledVarSet clique, Variable target)
{
numCvgaCalls++;
Timing timing = new Timing ();
ACRF.Template tmpl = clique.getTemplate ();
int tidx = tmpl.index;
Assignment cliqueAssn = Assignment.restriction (observations, clique);
int M = target.getNumOutcomes ();
double[] vals = new double [M];
int[] singles = new int [M];
for (int assnIdx = 0; assnIdx < M; assnIdx++) {
cliqueAssn.setValue (target, assnIdx);
vals[assnIdx] = computeLogFactorValue (cliqueAssn, tmpl, clique.getFv ());
singles[assnIdx] = cliqueAssn.singleIndex ();
}
double logZ = Maths.sumLogProb (vals);
for (int assnIdx = 0; assnIdx < M; assnIdx++) {
double marginal = Math.exp (vals[assnIdx] - logZ);
int expIdx = singles[assnIdx];
expectations[tidx][expIdx].plusEqualsSparse (clique.getFv (), marginal);
if (defaultExpectations[tidx].location (expIdx) != -1) {
defaultExpectations[tidx].incrementValue (expIdx, marginal);
}
}
int observedVal = observations.get (target);
timePerCvgaCall += timing.elapsedTime ();
return vals[observedVal] - logZ;
}
示例3: logspaceOneNorm
import cc.mallet.util.Maths; //导入方法依赖的package包/类
private double logspaceOneNorm ()
{
double sum = Double.NEGATIVE_INFINITY; // That's 0 in log space
for (int i = 0; i < probs.numLocations (); i++) {
sum = Maths.sumLogProb (sum, probs.valueAtLocation (i));
}
Flops.sumLogProb (probs.numLocations ());
return sum;
}
示例4: plusEqualsInternal
import cc.mallet.util.Maths; //导入方法依赖的package包/类
/**
* Does the conceptual equivalent of this += pot.
* Assumes that pot's variables are a subset of
* this potential's.
*/
protected void plusEqualsInternal (DiscreteFactor ptl)
{
int[] projection = largeIdxToSmall (ptl);
int numLocs = probs.numLocations ();
for (int singleLoc = 0; singleLoc < numLocs; singleLoc++) {
int smallIdx = projection[singleLoc];
double prev = this.probs.valueAtLocation (singleLoc);
double newVal = ptl.logValue (smallIdx);
double product = Maths.sumLogProb (prev, newVal);
this.probs.setValueAtLocation (singleLoc, product);
}
Flops.sumLogProb (numLocs);
}