Packages

object NerDLModel extends ReadablePretrainedNerDL with ReadsNERGraph with Serializable

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

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

Value Members

  1. def addReader(reader: (NerDLModel, String, SparkSession) ⇒ Unit): Unit
    Definition Classes
    ParamsAndFeaturesReadable
  2. val defaultLang: String
    Definition Classes
    HasPretrained
  3. lazy val defaultLoc: String
    Definition Classes
    HasPretrained
  4. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedNerDL → HasPretrained
  5. def load(path: String): NerDLModel
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  6. def pretrained(name: String, lang: String): NerDLModel
    Definition Classes
    ReadablePretrainedNerDL → HasPretrained
  7. def pretrained(name: String): NerDLModel
    Definition Classes
    ReadablePretrainedNerDL → HasPretrained
  8. def pretrained(): NerDLModel

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedNerDL → HasPretrained
  9. def pretrained(name: String, lang: String, remoteLoc: String): NerDLModel

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    ReadablePretrainedNerDL → HasPretrained
  10. def read: MLReader[NerDLModel]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  11. def readNerGraph(instance: NerDLModel, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadsNERGraph
  12. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  13. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  14. 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
  15. 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
  16. val tfFile: String
    Definition Classes
    ReadsNERGraph → ReadTensorflowModel