public class ParameterAveragingTrainingResult extends java.lang.Object implements TrainingResult
ParameterAveragingTrainingWorker to the
ParameterAveragingTrainingMaster| Constructor and Description |
|---|
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