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java.lang.Objectorg.joone.engine.extenders.LearnerExtender
org.joone.engine.extenders.UpdateWeightExtender
org.joone.engine.extenders.BatchModeExtender
public class BatchModeExtender
This class implements the offline learning, that is, batch mode. Weights are updated after Monitor.getBatchSize() cycles.
Constructor Summary | |
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BatchModeExtender()
Creates a new instance of BatchModeExtender |
Method Summary | |
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int |
getBatchSize()
Deprecated. use monitor.getBatchSize() |
protected void |
initiateNewBatch()
Initiates a new batch (at the beginning or when the dimensions change). |
void |
postBiasUpdate(double[] currentGradientOuts)
Gives extenders a change to do some post-computing after the biases are updated. |
void |
postWeightUpdate(double[] currentPattern,
double[] currentInps)
Gives extenders a change to do some post-computing after the weights are updated. |
void |
preBiasUpdate(double[] currentGradientOuts)
Gives extenders a change to do some pre-computing before the biases are updated. |
void |
preWeightUpdate(double[] currentPattern,
double[] currentInps)
Gives extenders a change to do some pre-computing before the weights are updated. |
protected void |
resetDelta(Matrix aMatrix)
Resets delta values to zero. |
void |
setBatchSize(int aBatchSize)
Deprecated. use monitor.setBatchSize() |
boolean |
storeWeightsBiases()
Checks if the weights or biases will be stored this cycle. |
void |
updateBias(int i,
double aDelta)
Updates a bias with the calculated delta value. |
void |
updateWeight(int j,
int k,
double aDelta)
Updates a weight with the calculated delta value. |
Methods inherited from class org.joone.engine.extenders.LearnerExtender |
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getLearner, isEnabled, setEnabled, setLearner |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public BatchModeExtender()
Method Detail |
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public void postBiasUpdate(double[] currentGradientOuts)
LearnerExtender
postBiasUpdate
in class LearnerExtender
currentGradientOuts
- the back propagated gradients.public void postWeightUpdate(double[] currentPattern, double[] currentInps)
LearnerExtender
postWeightUpdate
in class LearnerExtender
currentPattern
- the back propagated gradients.currentInps
- the forwarded input.public void preBiasUpdate(double[] currentGradientOuts)
LearnerExtender
preBiasUpdate
in class LearnerExtender
currentGradientOuts
- the back propagated gradients.public void preWeightUpdate(double[] currentPattern, double[] currentInps)
LearnerExtender
preWeightUpdate
in class LearnerExtender
currentPattern
- the back propagated gradients.currentInps
- the forwarded input.public void updateBias(int i, double aDelta)
UpdateWeightExtender
updateBias
in class UpdateWeightExtender
i
- the index of the bias to update.aDelta
- the calculated delta value.public void updateWeight(int j, int k, double aDelta)
UpdateWeightExtender
updateWeight
in class UpdateWeightExtender
j
- the input index of the weight to update.k
- the output index of the weight to update.aDelta
- the calculated delta value.protected void resetDelta(Matrix aMatrix)
aMatrix
- the matrix for which we need to set the delta values to zero.protected void initiateNewBatch()
public void setBatchSize(int aBatchSize)
aBatchSize
- the new batchsize.public int getBatchSize()
public boolean storeWeightsBiases()
UpdateWeightExtender
storeWeightsBiases
in class UpdateWeightExtender
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