@{engineInstance.engineFactory} (@{engineInstance.engineVariant}) - PredictionIO Engine Server at @{args.ip}:@{args.port}

@import io.prediction.data.storage.EngineInstance @import io.prediction.data.storage.EngineManifest @import io.prediction.workflow.ServerConfig @import org.joda.time.DateTime @import org.joda.time.format.DateTimeFormat @(args: ServerConfig, manifest: EngineManifest, engineInstance: EngineInstance, algorithms: Seq[String], algorithmsParams: Seq[String], models: Seq[String], dataSourceParams: String, preparatorParams: String, servingParams: String, serverStartTime: DateTime, feedback: Boolean, eventServerIp: String, eventServerPort: Int) @{engineInstance.engineFactory} (@{engineInstance.engineVariant}) - PredictionIO Engine Server at @{args.ip}:@{args.port}

Engine Information

Training Start Time	@{DateTimeFormat.forStyle("FF").print(engineInstance.startTime)}
Training End Time	@{DateTimeFormat.forStyle("FF").print(engineInstance.endTime)}
Variant ID	@{engineInstance.engineVariant}
Instance ID	@{engineInstance.id}

Server Information

@for(f <- manifest.files.drop(1)) { }

Start Time	@{DateTimeFormat.forStyle("FF").print(serverStartTime)}
Engine Factory Class (Scala/Java)	@{engineInstance.engineFactory}
Library Files	@{manifest.files.head}
@f

Data Source

Parameters	@{dataSourceParams}

Data Preparator

Parameters	@{preparatorParams}

Algorithms and Models

@for(a <- algorithms.zip(algorithmsParams).zip(models).zipWithIndex) { }

#	Information
@{a._2 + 1}	Class	@{a._1._1._1}
	Parameters	@{a._1._1._2}
	Model	@{a._1._2}

Serving

Parameters	@{servingParams}

Feedback Loop Information

Feedback Loop Enabled?	@{feedback}
Event Server IP	@{eventServerIp}
Event Server Port	@{eventServerPort}