Packages

object AssertionDLModel extends ReadsAssertionGraph with ReadablePretrainedAssertionDL with Serializable

Linear Supertypes
Serializable, Serializable, ReadablePretrainedAssertionDL, HasPretrained[AssertionDLModel], ReadsAssertionGraph, ReadTensorflowModel, ParamsAndFeaturesReadable[AssertionDLModel], DefaultParamsReadable[AssertionDLModel], MLReadable[AssertionDLModel], AnyRef, Any
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Inherited
  1. AssertionDLModel
  2. Serializable
  3. Serializable
  4. ReadablePretrainedAssertionDL
  5. HasPretrained
  6. ReadsAssertionGraph
  7. ReadTensorflowModel
  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: (AssertionDLModel, String, SparkSession) ⇒ Unit): Unit
    Definition Classes
    ParamsAndFeaturesReadable
  2. val defaultLang: String
    Definition Classes
    HasPretrained
  3. lazy val defaultLoc: String
    Definition Classes
    ReadablePretrainedAssertionDL → HasPretrained
  4. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedAssertionDL → HasPretrained
  5. def load(path: String): AssertionDLModel
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  6. def pretrained(name: String, lang: String): AssertionDLModel
    Definition Classes
    ReadablePretrainedAssertionDL → HasPretrained
  7. def pretrained(name: String): AssertionDLModel
    Definition Classes
    ReadablePretrainedAssertionDL → HasPretrained
  8. def pretrained(): AssertionDLModel
    Definition Classes
    ReadablePretrainedAssertionDL → HasPretrained
  9. def pretrained(name: String, lang: String, remoteLoc: String): AssertionDLModel

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedAssertionDL → HasPretrained
  10. def read: MLReader[AssertionDLModel]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  11. def readAssertionGraph(instance: AssertionDLModel, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadsAssertionGraph
  12. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  13. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  14. 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
  15. def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, loadSP: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  16. val tfFile: String
    Definition Classes
    ReadsAssertionGraph → ReadTensorflowModel