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Removed spurious @Override. 

As we are still targeting Java 5, @Override should not be used for mere
interface implementation.

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1557424 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Luc Maisonobe 2014-01-11 17:18:21 +00:00
parent aad194a346
commit 5f0fcfce89
4 changed files with 0 additions and 7 deletions
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2
src/main/java/org/apache/commons/math3/ml/neuralnet/Network.java
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@ -69,7 +69,6 @@ public class Network
private static final long serialVersionUID = 20130207L; private static final long serialVersionUID = 20130207L;
/** {@inheritDoc} */ /** {@inheritDoc} */
@Override
public int compare(Neuron a, public int compare(Neuron a,
Neuron b) { Neuron b) {
final long aId = a.getIdentifier(); final long aId = a.getIdentifier();
@ -138,7 +137,6 @@ public class Network
/** /**
* {@inheritDoc} * {@inheritDoc}
*/ */
@Override
public Iterator<Neuron> iterator() { public Iterator<Neuron> iterator() {
return neuronMap.values().iterator(); return neuronMap.values().iterator();
} }

1
src/main/java/org/apache/commons/math3/ml/neuralnet/sofm/KohonenUpdateAction.java
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@ -91,7 +91,6 @@ public class KohonenUpdateAction implements UpdateAction {
/** /**
* {@inheritDoc} * {@inheritDoc}
*/ */
@Override
public void update(Network net, public void update(Network net,
double[] features) { double[] features) {
final long numCalls = numberOfCalls.incrementAndGet(); final long numCalls = numberOfCalls.incrementAndGet();

2
src/main/java/org/apache/commons/math3/ml/neuralnet/sofm/LearningFactorFunctionFactory.java
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@ -68,7 +68,6 @@ public class LearningFactorFunctionFactory {
= new ExponentialDecayFunction(initValue, valueAtNumCall, numCall); = new ExponentialDecayFunction(initValue, valueAtNumCall, numCall);
/** {@inheritDoc} */ /** {@inheritDoc} */
@Override
public double value(long n) { public double value(long n) {
return decay.value(n); return decay.value(n);
} }
@ -110,7 +109,6 @@ public class LearningFactorFunctionFactory {
= new QuasiSigmoidDecayFunction(initValue, slope, numCall); = new QuasiSigmoidDecayFunction(initValue, slope, numCall);
/** {@inheritDoc} */ /** {@inheritDoc} */
@Override
public double value(long n) { public double value(long n) {
return decay.value(n); return decay.value(n);
} }

2
src/main/java/org/apache/commons/math3/ml/neuralnet/sofm/NeighbourhoodSizeFunctionFactory.java
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@ -63,7 +63,6 @@ public class NeighbourhoodSizeFunctionFactory {
= new ExponentialDecayFunction(initValue, valueAtNumCall, numCall); = new ExponentialDecayFunction(initValue, valueAtNumCall, numCall);
/** {@inheritDoc} */ /** {@inheritDoc} */
@Override
public int value(long n) { public int value(long n) {
return (int) FastMath.rint(decay.value(n)); return (int) FastMath.rint(decay.value(n));
} }
@ -100,7 +99,6 @@ public class NeighbourhoodSizeFunctionFactory {
= new QuasiSigmoidDecayFunction(initValue, slope, numCall); = new QuasiSigmoidDecayFunction(initValue, slope, numCall);
/** {@inheritDoc} */ /** {@inheritDoc} */
@Override
public int value(long n) { public int value(long n) {
return (int) FastMath.rint(decay.value(n)); return (int) FastMath.rint(decay.value(n));
} }