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Diffstat (limited to 'elki/src/main/java/de/lmu/ifi/dbs/elki/distance/similarityfunction/kernel/SigmoidKernelFunction.java')
-rw-r--r--elki/src/main/java/de/lmu/ifi/dbs/elki/distance/similarityfunction/kernel/SigmoidKernelFunction.java9
1 files changed, 6 insertions, 3 deletions
diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/distance/similarityfunction/kernel/SigmoidKernelFunction.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/distance/similarityfunction/kernel/SigmoidKernelFunction.java
index 82eb5ea6..7a752a3a 100644
--- a/elki/src/main/java/de/lmu/ifi/dbs/elki/distance/similarityfunction/kernel/SigmoidKernelFunction.java
+++ b/elki/src/main/java/de/lmu/ifi/dbs/elki/distance/similarityfunction/kernel/SigmoidKernelFunction.java
@@ -26,6 +26,7 @@ package de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel;
import de.lmu.ifi.dbs.elki.data.NumberVector;
import de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractNumberVectorDistanceFunction;
import de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractVectorSimilarityFunction;
+import de.lmu.ifi.dbs.elki.utilities.Alias;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization;
@@ -36,7 +37,9 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter;
* perceptron MLP kernel).
*
* @author Erich Schubert
+ * @since 0.2
*/
+@Alias("sigmoid")
public class SigmoidKernelFunction extends AbstractVectorSimilarityFunction {
/**
* Scaling factor c, bias theta
@@ -59,7 +62,7 @@ public class SigmoidKernelFunction extends AbstractVectorSimilarityFunction {
public double similarity(NumberVector o1, NumberVector o2) {
final int dim = AbstractNumberVectorDistanceFunction.dimensionality(o1, o2);
double sim = 0.;
- for (int i = 0; i < dim; i++) {
+ for(int i = 0; i < dim; i++) {
final double v = o1.doubleValue(i) * o2.doubleValue(i);
sim += v;
}
@@ -93,11 +96,11 @@ public class SigmoidKernelFunction extends AbstractVectorSimilarityFunction {
protected void makeOptions(Parameterization config) {
super.makeOptions(config);
final DoubleParameter cP = new DoubleParameter(C_ID, 1.);
- if (config.grab(cP)) {
+ if(config.grab(cP)) {
c = cP.doubleValue();
}
final DoubleParameter thetaP = new DoubleParameter(THETA_ID, 0.);
- if (config.grab(thetaP)) {
+ if(config.grab(thetaP)) {
theta = thetaP.doubleValue();
}
}