public interface MLEvents
extends org.apache.spark.internal.Logging
MLEvent.| Modifier and Type | Method and Description | 
|---|---|
| org.apache.spark.scheduler.LiveListenerBus | listenerBus() | 
| void | logEvent(MLEvent event)Log  MLEventto send. | 
| <M extends Model<M>> | withFitEvent(Estimator<M> estimator,
            Dataset<?> dataset,
            scala.Function0<M> func) | 
| <T> T | withLoadInstanceEvent(MLReader<T> reader,
                     String path,
                     scala.Function0<T> func) | 
| void | withSaveInstanceEvent(MLWriter writer,
                     String path,
                     scala.Function0<scala.runtime.BoxedUnit> func) | 
| Dataset<Row> | withTransformEvent(Transformer transformer,
                  Dataset<?> input,
                  scala.Function0<Dataset<Row>> func) | 
$init$, initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, initLock, isTraceEnabled, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning, org$apache$spark$internal$Logging$$log__$eq, org$apache$spark$internal$Logging$$log_, uninitializeorg.apache.spark.scheduler.LiveListenerBus listenerBus()
void logEvent(MLEvent event)
MLEvent to send. By default, it emits a debug-level log.event - (undocumented)<M extends Model<M>> M withFitEvent(Estimator<M> estimator, Dataset<?> dataset, scala.Function0<M> func)
<T> T withLoadInstanceEvent(MLReader<T> reader, String path, scala.Function0<T> func)
void withSaveInstanceEvent(MLWriter writer, String path, scala.Function0<scala.runtime.BoxedUnit> func)