public class DeepWalkModelConfig
extends java.lang.Object
Constructor and Description |
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DeepWalkModelConfig() |
DeepWalkModelConfig(int minWordFrequency, int batchSize, int numEpochs, int layerSize, double learningRate, double minLearningRate, int windowSize, int walkLength, int walksPerVertex, double sampleRate, int negativeSample, java.lang.Double trainingLoss, double validationFraction, PropertyType vertexIdPropertyType, java.lang.Long seed, boolean shuffle) |
Modifier and Type | Method and Description |
---|---|
int |
getBatchSize() |
int |
getLayerSize() |
double |
getLearningRate() |
java.lang.Double |
getLoss() |
double |
getMinLearningRate() |
int |
getMinWordFrequency() |
int |
getNegativeSample() |
int |
getNumEpochs() |
double |
getSampleRate() |
java.lang.Long |
getSeed() |
double |
getValidationFraction() |
PropertyType |
getVertexIdPropertyType() |
int |
getWalkLength() |
int |
getWalksPerVertex() |
int |
getWindowSize() |
boolean |
isIgnoreIsolated() |
boolean |
isShuffle() |
void |
setBatchSize(int batchSize) |
void |
setIgnoreIsolated(boolean ignoreIsolated) |
void |
setLayerSize(int layerSize) |
void |
setLearningRate(double learningRate) |
void |
setLoss(java.lang.Double trainingLoss) |
void |
setMinLearningRate(double minLearningRate) |
void |
setMinWordFrequency(int minWordFrequency) |
void |
setNegativeSample(int negativeSample) |
void |
setNumEpochs(int numEpochs) |
void |
setSampleRate(double sampleRate) |
void |
setSeed(java.lang.Long seed) |
void |
setShuffle(boolean shuffle) |
void |
setValidationFraction(double validationFraction) |
void |
setVertexIdPropertyType(PropertyType vertexIdPropertyType) |
void |
setWalkLength(int walkLength) |
void |
setWalksPerVertex(int walksPerVertex) |
void |
setWindowSize(int windowSize) |
public DeepWalkModelConfig()
public DeepWalkModelConfig(int minWordFrequency, int batchSize, int numEpochs, int layerSize, double learningRate, double minLearningRate, int windowSize, int walkLength, int walksPerVertex, double sampleRate, int negativeSample, java.lang.Double trainingLoss, double validationFraction, PropertyType vertexIdPropertyType, java.lang.Long seed, boolean shuffle)
public int getBatchSize()
public int getLayerSize()
public double getLearningRate()
public java.lang.Double getLoss()
public double getMinLearningRate()
public int getMinWordFrequency()
public int getNegativeSample()
public int getNumEpochs()
public double getSampleRate()
public java.lang.Long getSeed()
public double getValidationFraction()
public PropertyType getVertexIdPropertyType()
public int getWalkLength()
public int getWalksPerVertex()
public int getWindowSize()
public boolean isIgnoreIsolated()
public boolean isShuffle()
public void setBatchSize(int batchSize)
public void setIgnoreIsolated(boolean ignoreIsolated)
public void setLayerSize(int layerSize)
public void setLearningRate(double learningRate)
public void setLoss(java.lang.Double trainingLoss)
public void setMinLearningRate(double minLearningRate)
public void setMinWordFrequency(int minWordFrequency)
public void setNegativeSample(int negativeSample)
public void setNumEpochs(int numEpochs)
public void setSampleRate(double sampleRate)
public void setSeed(java.lang.Long seed)
public void setShuffle(boolean shuffle)
public void setValidationFraction(double validationFraction)
public void setVertexIdPropertyType(PropertyType vertexIdPropertyType)
public void setWalkLength(int walkLength)
public void setWalksPerVertex(int walksPerVertex)
public void setWindowSize(int windowSize)