Class/Object

py_sparkling.ml.models

H2OMOJOPipelineModel

Related Docs: object H2OMOJOPipelineModel | package models

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class H2OMOJOPipelineModel extends org.apache.spark.ml.h2o.models.H2OMOJOPipelineModel

Linear Supertypes
org.apache.spark.ml.h2o.models.H2OMOJOPipelineModel, HasMojoData, MLWritable, H2OMOJOPipelineModelParams, Model[org.apache.spark.ml.h2o.models.H2OMOJOPipelineModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. H2OMOJOPipelineModel
  2. H2OMOJOPipelineModel
  3. HasMojoData
  4. MLWritable
  5. H2OMOJOPipelineModelParams
  6. Model
  7. Transformer
  8. PipelineStage
  9. Logging
  10. Params
  11. Serializable
  12. Serializable
  13. Identifiable
  14. AnyRef
  15. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new H2OMOJOPipelineModel(uid: String)

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Type Members

  1. case class Mojo2Prediction(preds: List[Double]) extends Product with Serializable

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    Definition Classes
    H2OMOJOPipelineModel

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
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    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[_]): H2OMOJOPipelineModel.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.h2o.models.H2OMOJOPipelineModel

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    Definition Classes
    H2OMOJOPipelineModel → 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
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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. final val featuresCols: StringArrayParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOPipelineModelParams

  18. def finalize(): Unit

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

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

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    Definition Classes
    Params

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

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    Definition Classes
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  21. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  22. def getFeaturesCols(): Array[String]

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    Definition Classes
    H2OMOJOPipelineModelParams

  23. def getInputNames(): Array[String]

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    Definition Classes
    H2OMOJOPipelineModel
    Annotations
    @DeprecatedMethod( "getFeaturesCols" )

  24. def getMojoData: Array[Byte]

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    Attributes
    protected
    Definition Classes
    HasMojoData

  25. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OMOJOPipelineModelParams

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

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    Definition Classes
    Params

  27. def getOutputNames(): Array[String]

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    Definition Classes
    H2OMOJOPipelineModel
    Annotations
    @DeprecatedMethod( ... )

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

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    Definition Classes
    Params

  29. def getPredictionCol(): String

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    Definition Classes
    H2OMOJOPipelineModelParams

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

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    Definition Classes
    Params

  31. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  32. def hasParent: Boolean

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    Definition Classes
    Model

  33. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  34. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
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    Logging

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

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    Definition Classes
    Params

  36. final def isInstanceOf[T0]: Boolean

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

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    Definition Classes
    Params

  38. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  39. def log: Logger

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
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    Logging

  46. def logName: String

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    Logging

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

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    Attributes
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    Logging

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

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    Logging

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

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    Attributes
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    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    AnyRef

  52. final def notify(): Unit

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    Definition Classes
    AnyRef

  53. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    Params

  55. var parent: Estimator[org.apache.spark.ml.h2o.models.H2OMOJOPipelineModel]

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    Definition Classes
    Model

  56. def predictionSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPipelineModel

  57. def save(path: String): Unit

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

  58. def selectPredictionUDF(column: String): Column

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    Definition Classes
    H2OMOJOPipelineModel

  59. final def set(paramPair: ParamPair[_]): H2OMOJOPipelineModel.this.type

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    Attributes
    protected
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    Params

  60. final def set(param: String, value: Any): H2OMOJOPipelineModel.this.type

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    Attributes
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    Params

  61. final def set[T](param: Param[T], value: T): H2OMOJOPipelineModel.this.type

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    Definition Classes
    Params

  62. final def setDefault(paramPairs: ParamPair[_]*): H2OMOJOPipelineModel.this.type

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    Attributes
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    Params

  63. final def setDefault[T](param: Param[T], value: T): H2OMOJOPipelineModel.this.type

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    Attributes
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    Params

  64. def setMojoData(mojoData: Array[Byte]): Unit

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    Definition Classes
    HasMojoData

  65. def setNamedMojoOutputColumns(value: Boolean): H2OMOJOPipelineModel.this.type

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    Definition Classes
    H2OMOJOPipelineModelParams

  66. def setParent(parent: Estimator[org.apache.spark.ml.h2o.models.H2OMOJOPipelineModel]): org.apache.spark.ml.h2o.models.H2OMOJOPipelineModel

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    Definition Classes
    Model

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

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    Definition Classes
    AnyRef

  68. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    Definition Classes
    H2OMOJOPipelineModel → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  72. def transformSchema(schema: StructType): StructType

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    Definition Classes
    H2OMOJOPipelineModel → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  74. val uid: String

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    Definition Classes
    H2OMOJOPipelineModel → H2OMOJOPipelineModel → Identifiable

  75. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
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    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  78. def write: MLWriter

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    Definition Classes
    H2OMOJOPipelineModel → MLWritable

Inherited from org.apache.spark.ml.h2o.models.H2OMOJOPipelineModel

Inherited from HasMojoData

Inherited from MLWritable

Inherited from H2OMOJOPipelineModelParams

Inherited from Model[org.apache.spark.ml.h2o.models.H2OMOJOPipelineModel]

Inherited from 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