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: (ClassifierDLModel, 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

   LegalClassifierDLModel → HasPretrained

9.  val defaultModelName: Some[String]

   Definition Classes

   LegalClassifierDLModel → ReadablePretrainedClassifierDL → HasPretrained

10.  val defaultPreferredEngine: String

    Definition Classes

    HasPretrained

11.  final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

12.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

13.  def finalize(): Unit

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

14.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

15.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

16.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

17.  def load(path: String): ClassifierDLModel

    Definition Classes

    MLReadable

    Annotations

    @Since( "1.6.0" )

18.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

19.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

20.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

21.  def onRead(instance: ClassifierDLModel, path: String, session: SparkSession): Unit

    Attributes

    protected

    Definition Classes

    ParamsAndFeaturesReadable

22.  def pretrained(name: String, lang: String): ClassifierDLModel

    Definition Classes

    ReadablePretrainedClassifierDL → HasPretrained

23.  def pretrained(name: String): ClassifierDLModel

    Definition Classes

    ReadablePretrainedClassifierDL → HasPretrained

24.  def pretrained(): ClassifierDLModel

    Definition Classes

    ReadablePretrainedClassifierDL → HasPretrained

25.  def pretrained(name: String, lang: String, remoteLoc: String): ClassifierDLModel

    Definition Classes

    ReadablePretrainedClassifierDL → HasPretrained

26.  def pretrained(name: String, lang: String, remoteLoc: String, preferredEngine: String): ClassifierDLModel

    Definition Classes

    HasPretrained

27.  def pretrainedEngine(name: String, lang: String, preferredEngine: String): ClassifierDLModel

    Definition Classes

    HasPretrained

28.  def pretrainedEngine(name: String, preferredEngine: String): ClassifierDLModel

    Definition Classes

    HasPretrained

29.  def read: MLReader[ClassifierDLModel]

    Definition Classes

    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable

30.  def readModel(instance: ClassifierDLModel, path: String, spark: SparkSession): Unit

    Definition Classes

    ReadClassifierDLTensorflowModel

31.  def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

32.  def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

33.  def readTensorflowModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, savedSignatures: Option[Map[String, String]]): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

34.  def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, loadSP: Boolean): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

35.  val readers: ArrayBuffer[(ClassifierDLModel, String, SparkSession) ⇒ Unit]

    Attributes

    protected

    Definition Classes

    ParamsAndFeaturesReadable

36.  val skipPreferredEngine: Boolean

    Definition Classes

    HasPretrained

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

    Definition Classes

    AnyRef

38.  val tfFile: String

    Definition Classes

    ReadClassifierDLTensorflowModel → ReadTensorflowModel

39.  def toString(): String

    Definition Classes

    AnyRef → Any

40.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

42.  final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... ) @native()