Class/Object

com.tencent.angel.ml.core.graphsubmit

AngelModel

Related Docs: object AngelModel | package graphsubmit

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class AngelModel extends GraphModel

Linear Supertypes
GraphModel, MLModel, AnyRef, Any
Known Subclasses
DeepFM, FactorizationMachines, Kmeans, LinearRegression, LogisticRegression, MixedLogisticRegression, NeuralFactorizationMachines, ProductNeuralNetwork, RobustRegression, SoftmaxRegression, SupportVectorMachine, WideAndDeep
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. AngelModel
  2. GraphModel
  3. MLModel
  4. AnyRef
  5. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new AngelModel(conf: SharedConf, ctx: TaskContext = null)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. def addVariable(variable: Variable): AngelModel.this.type

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    Definition Classes
    GraphModel → MLModel

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. lazy val batchSize: Int

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  7. lazy val blockSize: Int

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  8. def buildNetwork(): AngelModel.this.type

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    Definition Classes
    AngelModel → GraphModel

  9. implicit val cilsImpl: CILSImpl

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    Attributes
    protected

  10. def clone(): AnyRef

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

  11. val conf: SharedConf

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    Definition Classes
    MLModel

  12. def createMatrices[T](envCtx: EnvContext[T]): AngelModel.this.type

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    Definition Classes
    MLModel

  13. val dataFormat: String

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    Definition Classes
    MLModel

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

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    Definition Classes
    AnyRef

  15. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  16. def finalize(): Unit

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

  17. def getAllGradients: Map[String, Matrix]

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    Definition Classes
    MLModel

  18. def getAllSlots: Map[String, Matrix]

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    Definition Classes
    MLModel

  19. def getAllVariables: List[Variable]

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    Definition Classes
    MLModel

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

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    Definition Classes
    AnyRef → Any

  21. def getGradient(name: String): Matrix

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    Definition Classes
    MLModel

  22. def getSlot(name: String): Matrix

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    Definition Classes
    MLModel

  23. def getVariable(name: String): Variable

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    Definition Classes
    MLModel

  24. implicit lazy val graph: Graph

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    Definition Classes
    AngelModel → GraphModel

  25. def hasGradient(name: String): Boolean

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    Definition Classes
    MLModel

  26. def hasSlot(name: String): Boolean

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    Definition Classes
    MLModel

  27. def hasVariable(name: String): Boolean

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    Definition Classes
    MLModel

  28. def hasVariable(v: Variable): Boolean

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    Definition Classes
    MLModel

  29. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  30. val indexRange: Long

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    Definition Classes
    MLModel

  31. def init[T](envCtx: EnvContext[T], taskId: Int): AngelModel.this.type

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    Definition Classes
    MLModel

  32. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  33. val isSparseFormat: Boolean

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    Definition Classes
    MLModel

  34. def keyType: String

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    Definition Classes
    MLModel

  35. def loadModel[T](envCtx: EnvContext[T], path: String, conf: Configuration): AngelModel.this.type

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    Definition Classes
    MLModel

  36. def lossFunc: LossFunc

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    Definition Classes
    GraphModel

  37. val modelType: RowType

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    Definition Classes
    MLModel

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

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    Definition Classes
    AnyRef

  39. final def notify(): Unit

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    Definition Classes
    AnyRef

  40. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  41. def predict(storage: LabeledData): PredictResult

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    Definition Classes
    AngelModel → MLModel

  42. def predict(storage: DataBlock[LabeledData]): List[PredictResult]

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    Predict use the PSModels and predict data

    Predict use the PSModels and predict data

    storage

    predict data

    returns

    predict result

    Definition Classes
    AngelModel → MLModel

  43. def pullParams(epoch: Int, indices: Vector): AngelModel.this.type

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    Definition Classes
    MLModel

  44. def pushGradient(lr: Double): Unit

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    Definition Classes
    GraphModel

  45. def pushSlot(lr: Double): AngelModel.this.type

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    Definition Classes
    MLModel

  46. def putGradient(v: Variable, g: Matrix): AngelModel.this.type

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    Definition Classes
    MLModel

  47. def putSlot(v: Variable, g: Matrix): AngelModel.this.type

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    Definition Classes
    GraphModel → MLModel

  48. def releaseMode[T](envCtx: EnvContext[T]): AngelModel.this.type

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    Definition Classes
    MLModel

  49. def saveModel[T](envCtx: EnvContext[T], path: String): AngelModel.this.type

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    Definition Classes
    MLModel

  50. def setState(state: VarState): AngelModel.this.type

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    Definition Classes
    MLModel

  51. def storageType: String

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    Definition Classes
    MLModel

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

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    Definition Classes
    AnyRef

  53. var taskNum: Int

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  54. def toString(): String

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    Definition Classes
    AnyRef → Any

  55. def update[T](epoch: Int, batchSize: Int): AngelModel.this.type

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    Definition Classes
    MLModel

  56. def updateConf(newConf: SharedConf): AngelModel.this.type

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    Definition Classes
    GraphModel

  57. val validIndexNum: Long

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    Definition Classes
    MLModel

  58. def valueType: String

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    Definition Classes
    MLModel

  59. implicit val variableManager: VariableManager

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    Attributes
    protected
    Definition Classes
    AngelModel → MLModel

  60. val variableProvider: VariableProvider

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    Attributes
    protected
    Definition Classes
    AngelModel → MLModel

  61. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from GraphModel

Inherited from MLModel

Inherited from AnyRef

Inherited from Any

Ungrouped