Packages

object MultiClassifierDLModel extends ReadablePretrainedMultiClassifierDL with ReadMultiClassifierDLTensorflowModel with Serializable

This is the companion object of MultiClassifierDLModel. Please refer to that class for the documentation.

Linear Supertypes
Serializable, Serializable, ReadMultiClassifierDLTensorflowModel, ReadTensorflowModel, ReadablePretrainedMultiClassifierDL, HasPretrained[MultiClassifierDLModel], ParamsAndFeaturesReadable[MultiClassifierDLModel], DefaultParamsReadable[MultiClassifierDLModel], MLReadable[MultiClassifierDLModel], AnyRef, Any
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Inherited
  1. MultiClassifierDLModel
  2. Serializable
  3. Serializable
  4. ReadMultiClassifierDLTensorflowModel
  5. ReadTensorflowModel
  6. ReadablePretrainedMultiClassifierDL
  7. HasPretrained
  8. ParamsAndFeaturesReadable
  9. DefaultParamsReadable
  10. MLReadable
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. All

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def addReader(reader: (MultiClassifierDLModel, String, SparkSession) ⇒ Unit): Unit
    Definition Classes
    ParamsAndFeaturesReadable
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  7. val defaultLang: String
    Definition Classes
    HasPretrained
  8. lazy val defaultLoc: String
    Definition Classes
    HasPretrained
  9. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedMultiClassifierDL → HasPretrained
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  14. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. def load(path: String): MultiClassifierDLModel
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  19. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. def pretrained(name: String, lang: String): MultiClassifierDLModel
    Definition Classes
    ReadablePretrainedMultiClassifierDL → HasPretrained
  21. def pretrained(name: String): MultiClassifierDLModel
    Definition Classes
    ReadablePretrainedMultiClassifierDL → HasPretrained
  22. def pretrained(): MultiClassifierDLModel

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedMultiClassifierDL → HasPretrained
  23. def pretrained(name: String, lang: String, remoteLoc: String): MultiClassifierDLModel

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    ReadablePretrainedMultiClassifierDL → HasPretrained
  24. def read: MLReader[MultiClassifierDLModel]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  25. def readModel(instance: MultiClassifierDLModel, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadMultiClassifierDLTensorflowModel
  26. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  27. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  28. def readTensorflowModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty, initAllTables: Boolean = false, savedSignatures: Option[Map[String, String]] = None): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  29. def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty, initAllTables: Boolean = false, loadSP: Boolean = false): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  30. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  31. val tfFile: String
    Definition Classes
    ReadMultiClassifierDLTensorflowModel → ReadTensorflowModel
  32. def toString(): String
    Definition Classes
    AnyRef → Any
  33. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  34. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  35. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from ReadMultiClassifierDLTensorflowModel

Inherited from ReadTensorflowModel

Inherited from ReadablePretrainedMultiClassifierDL

Inherited from HasPretrained[MultiClassifierDLModel]

Inherited from ParamsAndFeaturesReadable[MultiClassifierDLModel]

Inherited from DefaultParamsReadable[MultiClassifierDLModel]

Inherited from MLReadable[MultiClassifierDLModel]

Inherited from AnyRef

Inherited from Any

Ungrouped