com.intel.analytics.zoo.pipeline.api.keras.models

Model

object Model extends KerasLayerSerializable with Serializable

Linear Supertypes
Serializable, Serializable, KerasLayerSerializable, TKerasSerializerHelper, ContainerSerializable, ModuleSerializable, Savable, Loadable, AnyRef, Any
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Inherited
  1. Model
  2. Serializable
  3. Serializable
  4. KerasLayerSerializable
  5. TKerasSerializerHelper
  6. ContainerSerializable
  7. ModuleSerializable
  8. Savable
  9. Loadable
  10. AnyRef
  11. Any
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  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. var _copyWeightAndBias: Boolean

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  7. def appendKerasLabel[T](context: SerializeContext[T], moduleBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Definition Classes
    TKerasSerializerHelper

  8. def apply[T](input: Variable[T], output: Variable[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Model[T]

    Build a single-input, single-output graph container

    Build a single-input, single-output graph container

    input

    The input variable.

    output

    The output variable.

    returns

    A graph container.

  9. def apply[T](input: Array[Variable[T]], output: Variable[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Model[T]

    Build a multiple-input, single-output graph container.

    Build a multiple-input, single-output graph container.

    input

    Array of input variables.

    output

    The output variables.

    returns

    A graph container.

  10. def apply[T](input: Variable[T], output: Array[Variable[T]])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Model[T]

    Build a single-input, multiple-output graph container

    Build a single-input, multiple-output graph container

    input

    The input variable.

    output

    Array of output variables.

    returns

    A graph container.

  11. def apply[T](input: Array[Variable[T]], output: Array[Variable[T]])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Model[T]

    Build a multiple-input, multiple-output graph container.

    Build a multiple-input, multiple-output graph container.

    input

    Array of input variables.

    output

    Array of output variables.

    returns

    A graph container.

  12. def apply[T](input: ModuleNode[T], output: ModuleNode[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Model[T]

    Build a single-input, single-output graph container

    Build a single-input, single-output graph container

    input

    The input node.

    output

    The output node.

    returns

    A graph container.

  13. def apply[T](input: Array[ModuleNode[T]], output: ModuleNode[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Model[T]

    Build a multiple-input, single-output graph container.

    Build a multiple-input, single-output graph container.

    input

    Array of input nodes.

    output

    The output node.

    returns

    A graph container.

  14. def apply[T](input: ModuleNode[T], output: Array[ModuleNode[T]])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Model[T]

    Build a single-input, multiple-output graph container

    Build a single-input, multiple-output graph container

    input

    The input node.

    output

    Array of output nodes.

    returns

    A graph container.

  15. def apply[T](input: Array[ModuleNode[T]], output: Array[ModuleNode[T]])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Model[T]

    Build a multiple-input, multiple-output graph container.

    Build a multiple-input, multiple-output graph container.

    input

    Array of input nodes.

    output

    Array of output nodes.

    returns

    A graph container.

  16. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  17. def checkVersion[T](module: BigDLModule)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  18. def clone(): AnyRef

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

  19. def copy2BigDL[T](context: DeserializeContext, module: ModuleData[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  20. def copyFromBigDL[T](context: SerializeContext[T], modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  21. def copyWeightAndBias(): Boolean

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  22. def createBigDLModule[T](context: DeserializeContext, module: AbstractModule[Activity, Activity, T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): ModuleData[T]

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  23. def createSerializeBigDLModule[T](modelBuilder: Builder, context: SerializeContext[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SerializeResult

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  24. def doLoadModule[T](context: DeserializeContext)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): AbstractModule[Activity, Activity, T]

    Definition Classes
    Model → ContainerSerializable → ModuleSerializable

  25. def doSerializeModule[T](context: SerializeContext[T], builder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Definition Classes
    Model → KerasLayerSerializable → ContainerSerializable → ModuleSerializable

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

    Definition Classes
    AnyRef

  27. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  28. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  30. def getLock: AnyRef

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  31. def getTypes(context: DeserializeContext): (Array[ClassTag[_]], Array[TensorNumeric[_]])

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  32. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  33. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  34. def loadModule[T](context: DeserializeContext)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): ModuleData[T]

    Definition Classes
    ModuleSerializable → Loadable

  35. def loadSubModules[T](context: DeserializeContext, module: AbstractModule[Activity, Activity, T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Definition Classes
    KerasLayerSerializable → ContainerSerializable

  36. val lock: AnyRef

    Attributes
    protected
    Definition Classes
    ModuleSerializable

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

    Definition Classes
    AnyRef

  38. final def notify(): Unit

    Definition Classes
    AnyRef

  39. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  40. def serializeModule[T](context: SerializeContext[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SerializeResult

    Definition Classes
    ModuleSerializable → Savable

  41. def serializeSubModules[T](context: SerializeContext[T], containerBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Attributes
    protected
    Definition Classes
    ContainerSerializable

  42. def setCopyWeightAndBias(copyWeightAndBias: Boolean): Model.this.type

    Definition Classes
    ModuleSerializable

  43. def setDataTypes[T](context: SerializeContext[T], bigDLModelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Attributes
    protected
    Definition Classes
    ModuleSerializable

  44. def setVersion[T](modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Attributes
    protected
    Definition Classes
    ModuleSerializable

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

    Definition Classes
    AnyRef

  46. def toString(): String

    Definition Classes
    AnyRef → Any

  47. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from KerasLayerSerializable

Inherited from TKerasSerializerHelper

Inherited from ContainerSerializable

Inherited from ModuleSerializable

Inherited from Savable

Inherited from Loadable

Inherited from AnyRef

Inherited from Any

Ungrouped