Class

com.salesforce.op.stages.impl.feature

MultiPickListMapVectorizer

Related Doc: package feature

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class MultiPickListMapVectorizer[T <: OPMap[Set[String]]] extends SequenceEstimator[T, OPVector] with VectorizerDefaults with PivotParams with MapPivotParams with TextParams with MapStringPivotHelper with CleanTextMapFun with MinSupportParam with TrackNullsParam

Converts a sequence of KeyMultiPickList features into a vector keeping the top K most common occurrences of each key in the maps for that feature (ie the final vector has length k * number of keys * number of features). Each key found will also generate an other column which will capture values that do not make the cut or where not seen in training. Note that any keys not seen in training will be ignored.

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Inherited
  1. MultiPickListMapVectorizer
  2. TrackNullsParam
  3. MinSupportParam
  4. CleanTextMapFun
  5. CleanTextFun
  6. MapStringPivotHelper
  7. SaveOthersParams
  8. MapPivotParams
  9. PivotParams
  10. TextParams
  11. VectorizerDefaults
  12. SequenceEstimator
  13. OpPipelineStageN
  14. HasInN
  15. OpPipelineStage
  16. OpPipelineStageBase
  17. MLWritable
  18. OpPipelineStageParams
  19. InputParams
  20. Estimator
  21. PipelineStage
  22. Logging
  23. Params
  24. Serializable
  25. Serializable
  26. Identifiable
  27. AnyRef
  28. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new MultiPickListMapVectorizer(uid: String = UID[MultiPickListMapVectorizer[T]])(implicit tti: scala.reflect.api.JavaUniverse.TypeTag[T], ttiv: scala.reflect.api.JavaUniverse.TypeTag[Map[String, Set[String]]])

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    uid

    uid for instance

Type Members

  1. final type InputFeatures = Array[FeatureLike[T]]

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    Input Features type

    Input Features type

    Definition Classes
    OpPipelineStageNOpPipelineStageInputParams
  2. type MapMap = Map[String, Map[String, Long]]

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    Definition Classes
    MapStringPivotHelper
  3. final type OutputFeatures = FeatureLike[OPVector]

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    Definition Classes
    OpPipelineStageOpPipelineStageBase
  4. type SeqMapMap = Seq[utils.spark.SequenceAggregators.MapMap]

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    Definition Classes
    MapStringPivotHelper
  5. type SeqSeqTupArr = Seq[Seq[(String, Array[String])]]

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    Definition Classes
    MapStringPivotHelper

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 val blackListKeys: StringArrayParam

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    Definition Classes
    MapPivotParams
  7. implicit def booleanToDouble(v: Boolean): Double

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    Definition Classes
    VectorizerDefaults
  8. final def checkInputLength(features: Array[_]): Boolean

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    Checks the input length

    Checks the input length

    features

    input features

    returns

    true is input size as expected, false otherwise

    Definition Classes
    OpPipelineStageNInputParams
  9. final def checkSerializable: Try[Unit]

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    Check if the stage is serializable

    Check if the stage is serializable

    returns

    Failure if not serializable

    Definition Classes
    SequenceEstimatorOpPipelineStageBase
  10. final val cleanKeys: BooleanParam

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    Definition Classes
    MapPivotParams
  11. def cleanMap[V](m: Map[String, V], shouldCleanKey: Boolean, shouldCleanValue: Boolean): Map[String, V]

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    Definition Classes
    CleanTextMapFun
  12. final val cleanText: BooleanParam

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    Definition Classes
    TextParams
  13. def cleanTextFn(s: String, shouldClean: Boolean): String

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    Definition Classes
    CleanTextFun
  14. final def clear(param: Param[_]): MultiPickListMapVectorizer.this.type

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    Definition Classes
    Params
  15. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  16. final def copy(extra: ParamMap): MultiPickListMapVectorizer.this.type

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    This method is used to make a copy of the instance with new parameters in several methods in spark internals Default will find the constructor and make a copy for any class (AS LONG AS ALL CONSTRUCTOR PARAMS ARE VALS, this is why type tags are written as implicit vals in base classes).

    This method is used to make a copy of the instance with new parameters in several methods in spark internals Default will find the constructor and make a copy for any class (AS LONG AS ALL CONSTRUCTOR PARAMS ARE VALS, this is why type tags are written as implicit vals in base classes).

    Note: that the convention in spark is to have the uid be a constructor argument, so that copies will share a uid with the original (developers should follow this convention).

    extra

    new parameters want to add to instance

    returns

    a new instance with the same uid

    Definition Classes
    OpPipelineStageBase → Params
  17. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  18. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  19. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  20. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  21. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  22. def explainParams(): String

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    Definition Classes
    Params
  23. final def extractParamMap(): ParamMap

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    Definition Classes
    Params
  24. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params
  25. def filterKeys[V](m: Map[String, V], shouldCleanKey: Boolean, shouldCleanValue: Boolean): Map[String, V]

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    Attributes
    protected
    Definition Classes
    MapPivotParams
  26. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  27. def fit(dataset: Dataset[_]): SequenceModel[T, OPVector]

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    Spark operation on dataset to produce Dataset for constructor fit function and then turn output function into a Model

    Spark operation on dataset to produce Dataset for constructor fit function and then turn output function into a Model

    dataset

    input data for this stage

    returns

    a fitted model that will perform the transformation specified by the function defined in constructor fit

    Definition Classes
    SequenceEstimator → Estimator
  28. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[SequenceModel[T, OPVector]]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  29. def fit(dataset: Dataset[_], paramMap: ParamMap): SequenceModel[T, OPVector]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  30. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): SequenceModel[T, OPVector]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  31. def fitFn(dataset: Dataset[Seq[Map[String, Set[String]]]]): SequenceModel[T, OPVector]

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    Function that fits the sequence model

    Function that fits the sequence model

    Definition Classes
    MultiPickListMapVectorizerSequenceEstimator
  32. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  33. def getCategoryMaps[V](in: Dataset[Seq[Map[String, V]]], convertToMapOfMaps: (Map[String, V]) ⇒ MapMap, shouldCleanKeys: Boolean, shouldCleanValues: Boolean): Dataset[SeqMapMap]

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    Attributes
    protected
    Definition Classes
    MapStringPivotHelper
  34. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  35. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  36. final def getInputFeature[T <: FeatureType](i: Int): Option[FeatureLike[T]]

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    Gets an input feature Note: this method IS NOT safe to use outside the driver, please use getTransientFeature method instead

    Gets an input feature Note: this method IS NOT safe to use outside the driver, please use getTransientFeature method instead

    returns

    array of features

    Definition Classes
    InputParams
    Exceptions thrown

    NoSuchElementException if the features are not set

    RuntimeException in case one of the features is null

  37. final def getInputFeatures(): Array[OPFeature]

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    Gets the input features Note: this method IS NOT safe to use outside the driver, please use getTransientFeatures method instead

    Gets the input features Note: this method IS NOT safe to use outside the driver, please use getTransientFeatures method instead

    returns

    array of features

    Definition Classes
    InputParams
    Exceptions thrown

    NoSuchElementException if the features are not set

    RuntimeException in case one of the features is null

  38. final def getInputSchema(): StructType

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    Definition Classes
    OpPipelineStageParams
  39. final def getMetadata(): Metadata

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    Definition Classes
    OpPipelineStageParams
  40. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  41. def getOutput(): FeatureLike[OPVector]

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    Output features that will be created by this stage

    Output features that will be created by this stage

    returns

    feature of type OutputFeatures

    Definition Classes
    OpPipelineStageNOpPipelineStageBase
  42. final def getOutputFeatureName: String

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    Name of output feature (i.e.

    Name of output feature (i.e. column created by this stage)

    Definition Classes
    OpPipelineStage
  43. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  44. def getTopValues(categoryMaps: Dataset[SeqMapMap], inputSize: Int, topK: Int, minSup: Int): SeqSeqTupArr

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    Attributes
    protected
    Definition Classes
    MapStringPivotHelper
  45. final def getTransientFeature(i: Int): Option[TransientFeature]

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    Gets an input feature at index i

    Gets an input feature at index i

    i

    input index

    returns

    maybe an input feature

    Definition Classes
    InputParams
  46. final def getTransientFeatures(): Array[TransientFeature]

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    Gets the input Features

    Gets the input Features

    returns

    input features

    Definition Classes
    InputParams
  47. def getUnseenName: String

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    Definition Classes
    SaveOthersParams
  48. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params
  49. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  50. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  51. final def inN: Array[TransientFeature]

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    Attributes
    protected
    Definition Classes
    HasInN
  52. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  53. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  54. final def inputAsArray(in: InputFeatures): Array[OPFeature]

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    Function to convert InputFeatures to an Array of FeatureLike

    Function to convert InputFeatures to an Array of FeatureLike

    returns

    an Array of FeatureLike

    Definition Classes
    OpPipelineStageNInputParams
  55. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params
  56. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  57. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params
  58. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  59. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  60. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  61. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  62. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  63. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  64. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  65. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  66. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  67. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  68. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  69. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  70. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  71. def makeOutputVectorMetadata(topValues: SeqSeqTupArr, inputFeatures: Array[TransientFeature], operationName: String, outputName: String, stageName: String, trackNulls: Boolean = false): OpVectorMetadata

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    Attributes
    protected
    Definition Classes
    MapStringPivotHelper
  72. def makeVectorColumnMetadata(topValues: SeqSeqTupArr, inputFeatures: Array[TransientFeature], unseenName: String, trackNulls: Boolean = false): Array[OpVectorColumnMetadata]

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    Attributes
    protected
    Definition Classes
    MapStringPivotHelper
  73. final val minSupport: IntParam

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    Definition Classes
    MinSupportParam
  74. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  75. final def notify(): Unit

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    Definition Classes
    AnyRef
  76. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  77. def onGetMetadata(): Unit

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    Function to be called on getMetadata

    Function to be called on getMetadata

    Attributes
    protected
    Definition Classes
    OpPipelineStageParams
  78. def onSetInput(): Unit

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    Function to be called on setInput

    Function to be called on setInput

    Definition Classes
    VectorizerDefaultsOpPipelineStageBase
  79. val operationName: String

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    unique name of the operation this stage performs

    unique name of the operation this stage performs

    Definition Classes
    SequenceEstimatorOpPipelineStageBase
  80. final def outputAsArray(out: OutputFeatures): Array[OPFeature]

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    Function to convert OutputFeatures to an Array of FeatureLike

    Function to convert OutputFeatures to an Array of FeatureLike

    returns

    an Array of FeatureLike

    Definition Classes
    OpPipelineStageOpPipelineStageBase
  81. def outputFeatureUid: String

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    Attributes
    protected[com.salesforce.op]
    Definition Classes
    OpPipelineStageNOpPipelineStage
  82. def outputIsResponse: Boolean

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    Should output feature be a response? Yes, if any of the input features are.

    Should output feature be a response? Yes, if any of the input features are.

    returns

    true if the the output feature should be a response

    Definition Classes
    OpPipelineStage
  83. def outputVectorMeta: OpVectorMetadata

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    Get the metadata describing the output vector

    Get the metadata describing the output vector

    This does not trigger onGetMetadata()

    returns

    Metadata of output vector

    Attributes
    protected
    Definition Classes
    VectorizerDefaults
  84. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  85. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  86. val seqIConvert: FeatureTypeSparkConverter[T]

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    Definition Classes
    SequenceEstimator
  87. implicit val seqIEncoder: Encoder[Seq[T.Value]]

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    Definition Classes
    SequenceEstimator
  88. implicit val seqMapEncoder: Encoder[Seq[Map[String, String]]]

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    Attributes
    protected
    Definition Classes
    MapStringPivotHelper
  89. implicit val seqMapMapEncoder: Encoder[SeqMapMap]

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    Attributes
    protected
    Definition Classes
    MapStringPivotHelper
  90. implicit val seqSeqArrayEncoder: Encoder[SeqSeqTupArr]

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    Attributes
    protected
    Definition Classes
    MapStringPivotHelper
  91. final def set(paramPair: ParamPair[_]): MultiPickListMapVectorizer.this.type

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    Attributes
    protected
    Definition Classes
    Params
  92. final def set(param: String, value: Any): MultiPickListMapVectorizer.this.type

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    Attributes
    protected
    Definition Classes
    Params
  93. final def set[T](param: Param[T], value: T): MultiPickListMapVectorizer.this.type

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    Definition Classes
    Params
  94. final def setBlackListKeys(keys: Array[String]): MultiPickListMapVectorizer.this.type

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    Definition Classes
    MapPivotParams
  95. def setCleanKeys(clean: Boolean): MultiPickListMapVectorizer.this.type

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    Definition Classes
    MapPivotParams
  96. def setCleanText(clean: Boolean): MultiPickListMapVectorizer.this.type

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    Definition Classes
    TextParams
  97. final def setDefault(paramPairs: ParamPair[_]*): MultiPickListMapVectorizer.this.type

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    Attributes
    protected
    Definition Classes
    Params
  98. final def setDefault[T](param: Param[T], value: T): MultiPickListMapVectorizer.this.type

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    Attributes
    protected
    Definition Classes
    Params
  99. final def setInput(features: FeatureLike[T]*): MultiPickListMapVectorizer.this.type

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    Definition Classes
    OpPipelineStageN
  100. final def setInput(features: InputFeatures): MultiPickListMapVectorizer.this.type

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    Input features that will be used by the stage

    Input features that will be used by the stage

    returns

    feature of type InputFeatures

    Definition Classes
    OpPipelineStageBase
  101. final def setInputFeatures[S <: OPFeature](features: Array[S]): MultiPickListMapVectorizer.this.type

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    Sets input features

    Sets input features

    S

    feature like type

    features

    array of input features

    returns

    this stage

    Attributes
    protected
    Definition Classes
    InputParams
  102. final def setMetadata(m: Metadata): MultiPickListMapVectorizer.this.type

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    Definition Classes
    OpPipelineStageParams
  103. def setMinSupport(min: Int): MultiPickListMapVectorizer.this.type

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    Definition Classes
    MinSupportParam
  104. def setOutputFeatureName(name: String): MultiPickListMapVectorizer.this.type

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    Definition Classes
    OpPipelineStage
  105. def setTopK(numberToKeep: Int): MultiPickListMapVectorizer.this.type

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    Definition Classes
    PivotParams
  106. def setTrackNulls(v: Boolean): MultiPickListMapVectorizer.this.type

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    Option to keep track of values that were missing

    Option to keep track of values that were missing

    Definition Classes
    TrackNullsParam
  107. def setUnseenName(unseenNameIn: String): MultiPickListMapVectorizer.this.type

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    Definition Classes
    SaveOthersParams
  108. final def setWhiteListKeys(keys: Array[String]): MultiPickListMapVectorizer.this.type

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    Definition Classes
    MapPivotParams
  109. final def stageName: String

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    Stage unique name consisting of the stage operation name and uid

    Stage unique name consisting of the stage operation name and uid

    returns

    stage name

    Definition Classes
    OpPipelineStageBase
  110. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  111. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  112. final val topK: IntParam

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    Definition Classes
    PivotParams
  113. final val trackNulls: BooleanParam

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    Definition Classes
    TrackNullsParam
  114. final def transformSchema(schema: StructType): StructType

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    This function translates the input and output features into spark schema checks and changes that will occur on the underlying data frame

    This function translates the input and output features into spark schema checks and changes that will occur on the underlying data frame

    schema

    schema of the input data frame

    returns

    a new schema with the output features added

    Definition Classes
    OpPipelineStageBase
  115. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  116. implicit val tti: scala.reflect.api.JavaUniverse.TypeTag[T]

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    type tag for input

    type tag for input

    Definition Classes
    SequenceEstimator
  117. implicit val ttiv: scala.reflect.api.JavaUniverse.TypeTag[T.Value]

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    type tag for input value

    type tag for input value

    Definition Classes
    SequenceEstimator
  118. implicit val tto: scala.reflect.api.JavaUniverse.TypeTag[OPVector]

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    type tag for input

    type tag for input

    Definition Classes
    SequenceEstimatorOpPipelineStageN
  119. implicit val ttov: scala.reflect.api.JavaUniverse.TypeTag[Value]

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    type tag for output value

    type tag for output value

    Definition Classes
    SequenceEstimatorOpPipelineStageN
  120. val uid: String

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    uid for instance

    uid for instance

    Definition Classes
    SequenceEstimator → Identifiable
  121. final val unseenName: Param[String]

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    Definition Classes
    SaveOthersParams
  122. def vectorMetadataFromInputFeatures: OpVectorMetadata

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    Compute the output vector metadata only from the input features.

    Compute the output vector metadata only from the input features. Vectorizers use this to derive the full vector, including pivot columns or indicator features.

    returns

    Vector metadata from input features

    Attributes
    protected
    Definition Classes
    VectorizerDefaults
  123. def vectorMetadataWithNullIndicators: OpVectorMetadata

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    Attributes
    protected
    Definition Classes
    VectorizerDefaults
  124. def vectorOutputName: String

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    Get the name of the output vector

    Get the name of the output vector

    returns

    Output vector name as a string

    Attributes
    protected
    Definition Classes
    VectorizerDefaults
  125. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  126. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  127. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  128. final val whiteListKeys: StringArrayParam

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    Definition Classes
    MapPivotParams
  129. final def write: MLWriter

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    Definition Classes
    OpPipelineStageBase → MLWritable

Inherited from TrackNullsParam

Inherited from MinSupportParam

Inherited from CleanTextMapFun

Inherited from CleanTextFun

Inherited from MapStringPivotHelper

Inherited from SaveOthersParams

Inherited from MapPivotParams

Inherited from PivotParams

Inherited from TextParams

Inherited from VectorizerDefaults

Inherited from SequenceEstimator[T, OPVector]

Inherited from OpPipelineStageN[T, OPVector]

Inherited from HasInN

Inherited from OpPipelineStage[OPVector]

Inherited from OpPipelineStageBase

Inherited from MLWritable

Inherited from OpPipelineStageParams

Inherited from InputParams

Inherited from Estimator[SequenceModel[T, OPVector]]

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