Class/Object

py_sparkling.ml.models

H2OMOJOModel

Related Docs: object H2OMOJOModel | package models

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class H2OMOJOModel extends org.apache.spark.ml.h2o.models.H2OMOJOModel

Linear Supertypes
org.apache.spark.ml.h2o.models.H2OMOJOModel, MLWritable, H2OModelParams, Model[org.apache.spark.ml.h2o.models.H2OMOJOModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. H2OMOJOModel
  2. H2OMOJOModel
  3. MLWritable
  4. H2OModelParams
  5. Model
  6. Transformer
  7. PipelineStage
  8. Logging
  9. Params
  10. Serializable
  11. Serializable
  12. Identifiable
  13. AnyRef
  14. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new H2OMOJOModel(mojoData: Array[Byte])

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  2. new H2OMOJOModel(mojoData: Array[Byte], uid: String)

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Type Members

  1. case class AnomalyPrediction(score: Double, normalizedScore: Double) extends Product with Serializable

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    Definition Classes
    H2OMOJOModel

  2. case class AutoEncoderPrediction(original: Array[Double], reconstructed: Array[Double]) extends Product with Serializable

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    Definition Classes
    H2OMOJOModel

  3. case class BinomialPrediction(p0: Double, p1: Double) extends Product with Serializable

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    Definition Classes
    H2OMOJOModel

  4. case class ClusteringPrediction(cluster: Integer) extends Product with Serializable

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    Definition Classes
    H2OMOJOModel

  5. case class DimReductionPrediction(dimensions: Array[Double]) extends Product with Serializable

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    Definition Classes
    H2OMOJOModel

  6. case class MultinomialPrediction(probabilities: Array[Double]) extends Product with Serializable

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    Definition Classes
    H2OMOJOModel

  7. case class RegressionPrediction(value: Double) extends Product with Serializable

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    Definition Classes
    H2OMOJOModel

  8. case class WordEmbeddingPrediction(wordEmbeddings: HashMap[String, Array[Float]]) extends Product with Serializable

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    Definition Classes
    H2OMOJOModel

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[_]): H2OMOJOModel.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. final val convertUnknownCategoricalLevelsToNa: BooleanParam

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    Definition Classes
    H2OModelParams

  9. def copy(extra: ParamMap): org.apache.spark.ml.h2o.models.H2OMOJOModel

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    Definition Classes
    H2OMOJOModel → Model → Transformer → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  12. def defaultFileName: String

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    Definition Classes
    H2OMOJOModel

  13. var easyPredictModelWrapper: EasyPredictModelWrapper

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    Definition Classes
    H2OMOJOModel

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

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    Definition Classes
    AnyRef

  15. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  17. def explainParams(): String

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    Definition Classes
    Params

  18. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  20. final val featuresCols: StringArrayParam

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    Definition Classes
    H2OModelParams

  21. def finalize(): Unit

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

  24. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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    Definition Classes
    H2OModelParams

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

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    Definition Classes
    Params

  26. def getFeaturesCols(): Array[String]

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    Definition Classes
    H2OModelParams

  27. def getModelUdf(): UserDefinedFunction

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    Definition Classes
    H2OMOJOModel

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

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    Definition Classes
    Params

  29. def getOutputCol(): String

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    Definition Classes
    H2OModelParams

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

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    Definition Classes
    Params

  31. def getPredictionsCol(): String

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    Definition Classes
    H2OModelParams

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

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    Definition Classes
    Params

  33. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  34. def hasParent: Boolean

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    Definition Classes
    Model

  35. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  36. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  38. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  40. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  41. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  48. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  53. val mojoData: Array[Byte]

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    Definition Classes
    H2OMOJOModel → H2OMOJOModel

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

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    Definition Classes
    AnyRef

  55. final def notify(): Unit

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    Definition Classes
    AnyRef

  56. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  57. final val outputCol: Param[String]

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    Definition Classes
    H2OModelParams

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

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    Definition Classes
    Params

  59. var parent: Estimator[org.apache.spark.ml.h2o.models.H2OMOJOModel]

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    Definition Classes
    Model

  60. final val predictionCol: Param[String]

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    Definition Classes
    H2OModelParams

  61. def predictionSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOModel

  62. def save(path: String): Unit

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

  63. final def set(paramPair: ParamPair[_]): H2OMOJOModel.this.type

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    Attributes
    protected
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    Params

  64. final def set(param: String, value: Any): H2OMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  65. final def set[T](param: Param[T], value: T): H2OMOJOModel.this.type

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    Definition Classes
    Params

  66. def setConvertUnknownCategoricalLevelsToNa(value: Boolean): H2OMOJOModel.this.type

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    Definition Classes
    H2OModelParams

  67. final def setDefault(paramPairs: ParamPair[_]*): H2OMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  68. final def setDefault[T](param: Param[T], value: T): H2OMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  69. def setFeaturesCols(cols: Array[String]): H2OMOJOModel.this.type

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    Definition Classes
    H2OModelParams

  70. def setOutputCol(value: String): H2OMOJOModel.this.type

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    Definition Classes
    H2OModelParams

  71. def setParent(parent: Estimator[org.apache.spark.ml.h2o.models.H2OMOJOModel]): org.apache.spark.ml.h2o.models.H2OMOJOModel

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    Definition Classes
    Model

  72. def setPredictionCol(value: String): H2OMOJOModel.this.type

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    Definition Classes
    H2OModelParams

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

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    Definition Classes
    AnyRef

  74. implicit def toAnomalyPrediction(pred: AbstractPrediction): AnomalyPrediction

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    Definition Classes
    H2OMOJOModel

  75. implicit def toAutoEncoderPrediction(pred: AbstractPrediction): AutoEncoderPrediction

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    Definition Classes
    H2OMOJOModel

  76. implicit def toBinomialPrediction(pred: AbstractPrediction): BinomialPrediction

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    Definition Classes
    H2OMOJOModel

  77. implicit def toClusteringPrediction(pred: AbstractPrediction): ClusteringPrediction

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    Definition Classes
    H2OMOJOModel

  78. implicit def toDimReductionPrediction(pred: AbstractPrediction): DimReductionPrediction

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    Definition Classes
    H2OMOJOModel

  79. implicit def toMultinomialPrediction(pred: AbstractPrediction): MultinomialPrediction

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    Definition Classes
    H2OMOJOModel

  80. implicit def toRegressionPrediction(pred: AbstractPrediction): RegressionPrediction

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    Definition Classes
    H2OMOJOModel

  81. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  82. implicit def toWordEmbeddingPrediction(pred: AbstractPrediction): WordEmbeddingPrediction

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    Definition Classes
    H2OMOJOModel

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

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    Definition Classes
    H2OMOJOModel → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  86. def transformSchema(schema: StructType): StructType

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    Definition Classes
    H2OMOJOModel → PipelineStage
    Annotations
    @DeveloperApi()

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  88. val uid: String

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    Definition Classes
    H2OMOJOModel → H2OMOJOModel → Identifiable

  89. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  92. def write: MLWriter

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    Definition Classes
    H2OMOJOModel → MLWritable
    Annotations
    @Since( "1.6.0" )

Inherited from org.apache.spark.ml.h2o.models.H2OMOJOModel

Inherited from MLWritable

Inherited from H2OModelParams

Inherited from Model[org.apache.spark.ml.h2o.models.H2OMOJOModel]

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

getParam

setParam

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