io.prediction.core

BaseAlgorithm

abstract class BaseAlgorithm[PD, M, Q, P] extends AbstractDoer with BaseQuerySerializer

:: DeveloperApi :: Base class of all algorithm controllers

PD

Prepared data class

M

Model class

Q

Query class

P

Predicted result class

Annotations
@DeveloperApi()
Linear Supertypes
BaseQuerySerializer, AbstractDoer, Serializable, Serializable, AnyRef, Any
Known Subclasses
LAlgorithm, LJavaAlgorithm, P2LAlgorithm, P2LJavaAlgorithm, PAlgorithm, PJavaAlgorithm
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. BaseAlgorithm
  2. BaseQuerySerializer
  3. AbstractDoer
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Instance Constructors

  1. new BaseAlgorithm()

Abstract Value Members

  1. abstract def batchPredictBase(sc: SparkContext, bm: Any, qs: RDD[(Long, Q)]): RDD[(Long, P)]

    :: DeveloperApi :: Engine developers should not use this directly.

    :: DeveloperApi :: Engine developers should not use this directly. This is called by evaluation workflow to perform batch prediction.

    sc

    Spark context

    bm

    Model

    qs

    Batch of queries

    returns

    Batch of predicted results

    Annotations
    @DeveloperApi()

  2. abstract def predictBase(bm: Any, q: Q): P

    :: DeveloperApi :: Engine developers should not use this directly.

    :: DeveloperApi :: Engine developers should not use this directly. Called by serving to perform a single prediction.

    bm

    Model

    q

    Query

    returns

    Predicted result

    Annotations
    @DeveloperApi()

  3. abstract def trainBase(sc: SparkContext, pd: PD): M

    :: DeveloperApi :: Engine developers should not use this directly.

    :: DeveloperApi :: Engine developers should not use this directly. This is called by workflow to train a model.

    sc

    Spark context

    pd

    Prepared data

    returns

    Trained model

    Annotations
    @DeveloperApi()

Concrete Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  8. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  10. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  11. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any

  12. lazy val gsonTypeAdapterFactories: Seq[TypeAdapterFactory]

    :: DeveloperApi :: Serializer for Java query classes using Gson

    :: DeveloperApi :: Serializer for Java query classes using Gson

    Definition Classes
    BaseQuerySerializer

  13. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  15. def makePersistentModel(sc: SparkContext, modelId: String, algoParams: Params, bm: Any): Any

    :: DeveloperApi :: Engine developers should not use this directly.

    :: DeveloperApi :: Engine developers should not use this directly. Prepare a model for persistence in the downstream consumer. PredictionIO supports 3 types of model persistence: automatic persistence, manual persistence, and re-training on deployment. This method provides a way for downstream modules to determine which mode the model should be persisted.

    sc

    Spark context

    modelId

    Model ID

    algoParams

    Algorithm parameters that trained this model

    bm

    Model

    returns

    The model itself for automatic persistence, an instance of io.prediction.workflow.PersistentModelManifest for manual persistence, or Unit for re-training on deployment

    Annotations
    @DeveloperApi()

  16. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  17. final def notify(): Unit

    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  19. def queryClass: Class[Q]

    :: DeveloperApi :: Obtains the type signature of query for this algorithm

    :: DeveloperApi :: Obtains the type signature of query for this algorithm

    returns

    Type signature of query

  20. lazy val querySerializer: Formats

    :: DeveloperApi :: Serializer for Scala query classes using io.prediction.controller.Utils.json4sDefaultFormats

    :: DeveloperApi :: Serializer for Scala query classes using io.prediction.controller.Utils.json4sDefaultFormats

    Definition Classes
    BaseQuerySerializer

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

    Definition Classes
    AnyRef

  22. def toString(): String

    Definition Classes
    AnyRef → Any

  23. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  25. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from BaseQuerySerializer

Inherited from AbstractDoer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped