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: (T, 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.  final def eq(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

8.  def equals(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

9.  implicit val evidence: ClassTag[T]
10.  def finalize(): Unit

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

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

11.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

12.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

13.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

14.  def load(path: String): T

    Definition Classes

    MLReadable

    Annotations

    @Since( "1.6.0" )

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

    Definition Classes

    AnyRef

16.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

17.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

18.  def onRead(instance: T, path: String, session: SparkSession): Unit

    Attributes

    protected

    Definition Classes

    ParamsAndFeaturesReadable

19.  def read: MLReader[T]

    Definition Classes

    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable

20.  def readGenericClassifierGraph(instance: T, path: String, spark: SparkSession): Unit
21.  def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

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

    Definition Classes

    ReadTensorflowModel

23.  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

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

    Definition Classes

    ReadTensorflowModel

25.  val readers: ArrayBuffer[(T, String, SparkSession) ⇒ Unit]

    Attributes

    protected

    Definition Classes

    ParamsAndFeaturesReadable

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

    Definition Classes

    AnyRef

27.  val tfFile: String

    Definition Classes

    ReadsGenericClassifierGraph → ReadTensorflowModel

28.  def toString(): String

    Definition Classes

    AnyRef → Any

29.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... ) @native()