MlModelBL

abstract def delete(name: String, version: String, timestamp: Long): Unit

Delete the metadata and the transformer model in base to name, version, timestamp

abstract def getAll: Seq[MlModelOnlyInfo]

Get all model saved

abstract def getFileByID(mlModelOnlyInfo: MlModelOnlyInfo): Option[Array[Byte]]

abstract def getMlModelOnlyInfo(name: String, version: String, timestamp: Long): Option[MlModelOnlyInfo]

Find a precise model that is identify by name, version and timestamp

abstract def getMlModelOnlyInfo(name: String, version: String): Option[MlModelOnlyInfo]

Find the most recent model with this name and version

abstract def saveFile(file: Array[Byte], fileName: String, metadata: BsonDocument): BsonObjectId

abstract def saveMlModelOnlyInfo(mlModelOnlyInfo: MlModelOnlyInfo): Unit

Persist only the metadata about the model

abstract def updateMlModelOnlyInfo(mlModelOnlyInfo: MlModelOnlyInfo): Unit

Update only the metadata about the model

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def getSerializedTransformer(mlModelOnlyInfo: MlModelOnlyInfo): Option[Any]

Get an Enumerator with the model already deserialized the mlModelOnlyInfo must have initialized

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def saveTransformer(transformerModel: Serializable, name: String, version: String, timestamp: Long): BsonObjectId

Persist the transformer model

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit