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: (ConvNextForImageClassification, 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

   ReadablePretrainedConvNextForImageModel → 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): ConvNextForImageClassification

    Definition Classes

    MLReadable

    Annotations

    @Since( "1.6.0" )

17.  def loadSavedModel(modelPath: String, spark: SparkSession): ConvNextForImageClassification

    Definition Classes

    ReadConvNextForImageDLModel

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.  val onnxFile: String

    Definition Classes

    ReadConvNextForImageDLModel → ReadOnnxModel

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

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes

    ReadablePretrainedConvNextForImageModel → HasPretrained

23.  def pretrained(name: String, lang: String): ConvNextForImageClassification

    Definition Classes

    ReadablePretrainedConvNextForImageModel → HasPretrained

24.  def pretrained(name: String): ConvNextForImageClassification

    Definition Classes

    ReadablePretrainedConvNextForImageModel → HasPretrained

25.  def pretrained(): ConvNextForImageClassification

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes

    ReadablePretrainedConvNextForImageModel → HasPretrained

26.  def read: MLReader[ConvNextForImageClassification]

    Definition Classes

    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable

27.  def readModel(instance: ConvNextForImageClassification, path: String, spark: SparkSession): Unit

    Definition Classes

    ReadConvNextForImageDLModel

28.  def readOnnxModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, modelName: Option[String] = None, tmpFolder: Option[String] = None, dataFilePostfix: Option[String] = None): OnnxWrapper

    Definition Classes

    ReadOnnxModel

29.  def readOnnxModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true, useBundle: Boolean = false, dataFilePostfix: String = "_data"): Map[String, OnnxWrapper]

    Definition Classes

    ReadOnnxModel

30.  def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

31.  def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

32.  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

33.  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

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

    Definition Classes

    AnyRef

35.  val tfFile: String

    Definition Classes

    ReadConvNextForImageDLModel → ReadTensorflowModel

36.  def toString(): String

    Definition Classes

    AnyRef → Any

37.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... ) @native()