object SentenceDetectorDLModel extends ReadsSentenceDetectorDLGraph with ReadablePretrainedSentenceDetectorDL with Serializable

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Inherited
  1. SentenceDetectorDLModel
  2. Serializable
  3. Serializable
  4. ReadablePretrainedSentenceDetectorDL
  5. HasPretrained
  6. ReadsSentenceDetectorDLGraph
  7. ReadTensorflowModel
  8. ParamsAndFeaturesReadable
  9. DefaultParamsReadable
  10. MLReadable
  11. AnyRef
  12. Any
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Value Members

  1. def addReader(reader: (SentenceDetectorDLModel, 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]
  5. def load(path: String): SentenceDetectorDLModel
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  6. def pretrained(name: String, lang: String, remoteLoc: String): SentenceDetectorDLModel

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    ReadablePretrainedSentenceDetectorDLHasPretrained
  7. def pretrained(name: String, lang: String): SentenceDetectorDLModel
  8. def pretrained(name: String): SentenceDetectorDLModel
  9. def pretrained(): SentenceDetectorDLModel

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedSentenceDetectorDLHasPretrained
  10. def read: MLReader[SentenceDetectorDLModel]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  11. def readSentenceDetectorDLGraph(instance: SentenceDetectorDLModel, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadsSentenceDetectorDLGraph
  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