public class ParameterAveragingTrainingResult extends java.lang.Object implements TrainingResult
ParameterAveragingTrainingWorker
to the
ParameterAveragingTrainingMaster
Constructor and Description |
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ParameterAveragingTrainingResult(org.nd4j.linalg.api.ndarray.INDArray parameters,
org.nd4j.linalg.api.ndarray.INDArray updaterState,
double score,
java.util.Collection<StorageMetaData> listenerMetaData,
java.util.Collection<Persistable> listenerStaticInfo,
java.util.Collection<Persistable> listenerUpdates) |
ParameterAveragingTrainingResult(org.nd4j.linalg.api.ndarray.INDArray parameters,
org.nd4j.linalg.api.ndarray.INDArray updaterState,
double score,
SparkTrainingStats sparkTrainingStats,
java.util.Collection<StorageMetaData> listenerMetaData,
java.util.Collection<Persistable> listenerStaticInfo,
java.util.Collection<Persistable> listenerUpdates) |
Modifier and Type | Method and Description |
---|---|
void |
setStats(SparkTrainingStats sparkTrainingStats) |
public ParameterAveragingTrainingResult(org.nd4j.linalg.api.ndarray.INDArray parameters, org.nd4j.linalg.api.ndarray.INDArray updaterState, double score, java.util.Collection<StorageMetaData> listenerMetaData, java.util.Collection<Persistable> listenerStaticInfo, java.util.Collection<Persistable> listenerUpdates)
public ParameterAveragingTrainingResult(org.nd4j.linalg.api.ndarray.INDArray parameters, org.nd4j.linalg.api.ndarray.INDArray updaterState, double score, SparkTrainingStats sparkTrainingStats, java.util.Collection<StorageMetaData> listenerMetaData, java.util.Collection<Persistable> listenerStaticInfo, java.util.Collection<Persistable> listenerUpdates)
public void setStats(SparkTrainingStats sparkTrainingStats)
setStats
in interface TrainingResult