@import org.apache.predictionio.data.storage.EngineInstance
@import org.apache.predictionio.data.storage.EngineManifest
@import org.apache.predictionio.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,
requestCount: Int,
avgServingSec: Double,
lastServingSec: Double
)
@{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
Start Time | @{DateTimeFormat.forStyle("FF").print(serverStartTime)} |
Request Count | @{requestCount} |
Average Serving Time | @{f"${avgServingSec}%.4f"} seconds |
Last Serving Time | @{f"${lastServingSec}%.4f"} seconds |
Engine Factory Class (Scala/Java) | @{engineInstance.engineFactory} |
Library Files |
@{manifest.files.head} |
@for(f <- manifest.files.drop(1)) {
@f |
}
Data Source
Parameters | @{dataSourceParams} |
Data Preparator
Parameters | @{preparatorParams} |
Algorithms and Models
# | Information |
@for(a <- algorithms.zip(algorithmsParams).zip(models).zipWithIndex) {
@{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} |