Class/Object

ai.deepsense.deeplang.doperables.serialization

SerializableSparkModel

Related Docs: object SerializableSparkModel | package serialization

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class SerializableSparkModel[M <: org.apache.spark.ml.Model[M]] extends sparkutils.ML.Model[SerializableSparkModel[M]] with MLWritable

Linear Supertypes
MLWritable, sparkutils.ML.Model[SerializableSparkModel[M]], org.apache.spark.ml.Model[SerializableSparkModel[M]], org.apache.spark.ml.Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. SerializableSparkModel
  2. MLWritable
  3. Model
  4. Model
  5. Transformer
  6. PipelineStage
  7. Logging
  8. Params
  9. Serializable
  10. Serializable
  11. Identifiable
  12. AnyRef
  13. Any
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Visibility
  1. Public
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Instance Constructors

  1. new SerializableSparkModel(sparkModel: M)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params

  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. final def clear(param: Param[_]): SerializableSparkModel.this.type

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    Definition Classes
    Params

  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  8. def copy(extra: ParamMap): SerializableSparkModel[M]

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    Definition Classes
    SerializableSparkModel → Model → Transformer → PipelineStage → Params

  9. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  10. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  11. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  13. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  14. def explainParams(): String

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    Definition Classes
    Params

  15. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

  16. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params

  17. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  18. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  19. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  20. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  21. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params

  22. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params

  23. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params

  24. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  25. def hasParent: Boolean

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    Definition Classes
    Model

  26. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  27. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  28. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params

  29. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  30. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params

  31. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  32. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

  33. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  34. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  35. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  36. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  37. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  38. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  39. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

  40. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  41. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  42. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  43. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  44. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  45. final def notify(): Unit

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    Definition Classes
    AnyRef

  46. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  47. lazy val params: Array[Param[_]]

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    Definition Classes
    Params

  48. var parent: org.apache.spark.ml.Estimator[SerializableSparkModel[M]]

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    Definition Classes
    Model

  49. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  50. final def set(paramPair: ParamPair[_]): SerializableSparkModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  51. final def set(param: String, value: Any): SerializableSparkModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  52. final def set[T](param: Param[T], value: T): SerializableSparkModel.this.type

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    Definition Classes
    Params

  53. final def setDefault(paramPairs: ParamPair[_]*): SerializableSparkModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  54. final def setDefault[T](param: Param[T], value: T): SerializableSparkModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  55. def setParent(parent: org.apache.spark.ml.Estimator[SerializableSparkModel[M]]): SerializableSparkModel[M]

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    Definition Classes
    Model

  56. val sparkModel: M

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

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    Definition Classes
    AnyRef

  58. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  59. final def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    Model → Transformer

  60. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

  61. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()

  62. def transformDF(dataset: DataFrame): DataFrame

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    Definition Classes
    SerializableSparkModel → Model

  63. def transformSchema(schema: StructType): StructType

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    Definition Classes
    SerializableSparkModel → PipelineStage

  64. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  65. val uid: String

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    Definition Classes
    SerializableSparkModel → Identifiable

  66. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  68. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  69. def write: MLWriter

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    Definition Classes
    SerializableSparkModel → MLWritable

Inherited from MLWritable

Inherited from sparkutils.ML.Model[SerializableSparkModel[M]]

Inherited from org.apache.spark.ml.Model[SerializableSparkModel[M]]

Inherited from org.apache.spark.ml.Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped