Class

ai.deepsense.deeplang.doperables.serialization

SerializableSparkEstimator

Related Doc: package serialization

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class SerializableSparkEstimator[T <: org.apache.spark.ml.Model[T], E <: org.apache.spark.ml.Estimator[T]] extends sparkutils.ML.Estimator[SerializableSparkModel[T]] with MLWritable

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

  1. new SerializableSparkEstimator(sparkEstimator: E)

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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[_]): SerializableSparkEstimator.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): org.apache.spark.ml.Estimator[SerializableSparkModel[T]]

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    Definition Classes
    SerializableSparkEstimator → Estimator → PipelineStage → Params

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

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    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 fit(dataset: Dataset[_]): SerializableSparkModel[T]

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    Definition Classes
    Estimator → Estimator

  19. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[SerializableSparkModel[T]]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  20. def fit(dataset: Dataset[_], paramMap: ParamMap): SerializableSparkModel[T]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  21. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): SerializableSparkModel[T]

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

  22. def fitDF(dataset: DataFrame): SerializableSparkModel[T]

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    Definition Classes
    SerializableSparkEstimator → Estimator

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  29. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  30. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  31. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
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    Logging

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

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    Definition Classes
    Params

  33. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  35. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  36. def log: Logger

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    Attributes
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Logging

  43. def logName: String

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    Attributes
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    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    AnyRef

  49. final def notify(): Unit

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    Definition Classes
    AnyRef

  50. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    Params

  52. def save(path: String): Unit

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

  53. final def set(paramPair: ParamPair[_]): SerializableSparkEstimator.this.type

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    Attributes
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  54. final def set(param: String, value: Any): SerializableSparkEstimator.this.type

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    Params

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

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    Definition Classes
    Params

  56. final def setDefault(paramPairs: ParamPair[_]*): SerializableSparkEstimator.this.type

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    Attributes
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    Params

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

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    Attributes
    protected
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    Params

  58. val sparkEstimator: E

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

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    Definition Classes
    AnyRef

  60. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  61. def transformSchema(schema: StructType): StructType

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    Definition Classes
    SerializableSparkEstimator → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  63. val uid: String

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    Definition Classes
    SerializableSparkEstimator → Identifiable

  64. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  67. def write: MLWriter

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    Definition Classes
    SerializableSparkEstimator → MLWritable

Inherited from MLWritable

Inherited from sparkutils.ML.Estimator[SerializableSparkModel[T]]

Inherited from org.apache.spark.ml.Estimator[SerializableSparkModel[T]]

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