Class/Object

com.salesforce.op.stages.impl.preparators

SanityChecker

Related Docs: object SanityChecker | package preparators

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class SanityChecker extends BinaryEstimator[RealNN, OPVector, OPVector] with SanityCheckerParams with AllowLabelAsInput[OPVector]

The SanityChecker checks for potential problems with computed features in a supervised learning setting.

There is an Estimator step, which outputs statistics on the incoming data, as well as the names of features which should be dropped from the feature vector. The transformer step applies the action of actually removing the offending features from the feature vector.

Linear Supertypes
AllowLabelAsInput[OPVector], SanityCheckerParams, BinaryEstimator[RealNN, OPVector, OPVector], OpPipelineStage2[RealNN, OPVector, OPVector], HasIn2, HasIn1, OpPipelineStage[OPVector], OpPipelineStageBase, MLWritable, OpPipelineStageParams, InputParams, Estimator[BinaryModel[RealNN, OPVector, OPVector]], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. SanityChecker
  2. AllowLabelAsInput
  3. SanityCheckerParams
  4. BinaryEstimator
  5. OpPipelineStage2
  6. HasIn2
  7. HasIn1
  8. OpPipelineStage
  9. OpPipelineStageBase
  10. MLWritable
  11. OpPipelineStageParams
  12. InputParams
  13. Estimator
  14. PipelineStage
  15. Logging
  16. Params
  17. Serializable
  18. Serializable
  19. Identifiable
  20. AnyRef
  21. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new SanityChecker(uid: String = UID[SanityChecker])

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Type Members

  1. final type InputFeatures = (FeatureLike[RealNN], FeatureLike[OPVector])

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    Input Features type

    Input Features type

    Definition Classes
    OpPipelineStage2OpPipelineStageInputParams
  2. final type OutputFeatures = FeatureLike[OPVector]

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    Definition Classes
    OpPipelineStageOpPipelineStageBase

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 categoricalLabel: BooleanParam

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    Definition Classes
    SanityCheckerParams
  7. 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
    OpPipelineStage2InputParams
  8. final val checkSample: DoubleParam

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    Definition Classes
    SanityCheckerParams
  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
    BinaryEstimatorOpPipelineStageBase
  10. final def clear(param: Param[_]): SanityChecker.this.type

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    Definition Classes
    Params
  11. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  12. val convertI1: FeatureTypeSparkConverter[RealNN]

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    Definition Classes
    BinaryEstimator
  13. val convertI2: FeatureTypeSparkConverter[OPVector]

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    Definition Classes
    BinaryEstimator
  14. final def copy(extra: ParamMap): SanityChecker.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
  15. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  16. final val correlationExclusion: Param[String]

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    Definition Classes
    SanityCheckerParams
  17. final val correlationType: Param[String]

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    Definition Classes
    SanityCheckerParams
  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. final val featureLabelCorrOnly: BooleanParam

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    Definition Classes
    SanityCheckerParams
  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[_]): BinaryModel[RealNN, OPVector, OPVector]

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

    Spark operation on dataset to produce RDD 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
    BinaryEstimator → Estimator
  28. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[BinaryModel[RealNN, OPVector, OPVector]]

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

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  31. def fitFn(data: Dataset[(Option[Double], Vector)]): BinaryModel[RealNN, OPVector, OPVector]

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    The SanityChecker's core 'estimator' function, computes statistics on the features and the list of features to be removed.

    The SanityChecker's core 'estimator' function, computes statistics on the features and the list of features to be removed.

    Definition Classes
    SanityCheckerBinaryEstimator
  32. def fraction(totalSize: Long): Double

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    Estimate of a fraction of data that is being checked.

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

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    Definition Classes
    Params
  34. def getCategoricalLabel: Boolean

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    Definition Classes
    SanityCheckerParams
  35. def getCheckSample: Double

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    Definition Classes
    SanityCheckerParams
  36. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  37. def getCorrelationExclusion: CorrelationExclusion

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    Definition Classes
    SanityCheckerParams
  38. def getCorrelationType: CorrelationType

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

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    Definition Classes
    Params
  40. def getFeatureLabelCorrOnly: Boolean

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    Definition Classes
    SanityCheckerParams
  41. 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

  42. 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

  43. final def getInputSchema(): StructType

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    Definition Classes
    OpPipelineStageParams
  44. def getMaxCorrelation: Double

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    Definition Classes
    SanityCheckerParams
  45. def getMaxCramersV: Double

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    Definition Classes
    SanityCheckerParams
  46. def getMaxRuleConfidence: Double

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    Definition Classes
    SanityCheckerParams
  47. final def getMetadata(): Metadata

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    Definition Classes
    OpPipelineStageParams
  48. def getMinCorrelation: Double

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    Definition Classes
    SanityCheckerParams
  49. def getMinRequiredRuleSupport: Double

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    Definition Classes
    SanityCheckerParams
  50. def getMinVariance: Double

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    Definition Classes
    SanityCheckerParams
  51. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  52. 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
    OpPipelineStage2OpPipelineStageBase
  53. 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
  54. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  55. def getProtectTextSharedHash: Boolean

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    Definition Classes
    SanityCheckerParams
  56. def getRemoveBadFeatures: Boolean

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    Definition Classes
    SanityCheckerParams
  57. def getRemoveFeatureGroup: Boolean

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    Definition Classes
    SanityCheckerParams
  58. def getSampleLowerLimit: Int

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    Definition Classes
    SanityCheckerParams
  59. def getSampleSeed: Long

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    Definition Classes
    SanityCheckerParams
  60. def getSampleUpperLimit: Int

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    Definition Classes
    SanityCheckerParams
  61. 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
  62. final def getTransientFeatures(): Array[TransientFeature]

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    Gets the input Features

    Gets the input Features

    returns

    input features

    Definition Classes
    InputParams
  63. final def hasDefault[T](param: Param[T]): Boolean

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

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    Definition Classes
    Params
  65. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  66. implicit val i1Encoder: Encoder[features.types.RealNN.Value]

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    Definition Classes
    BinaryEstimator
  67. implicit val i2Encoder: Encoder[Value]

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    Definition Classes
    BinaryEstimator
  68. final def in1: TransientFeature

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    Attributes
    protected
    Definition Classes
    HasIn1
  69. final def in2: TransientFeature

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    Attributes
    protected
    Definition Classes
    HasIn2
  70. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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

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    Attributes
    protected
    Definition Classes
    Logging
  72. 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
    OpPipelineStage2InputParams
  73. final def isDefined(param: Param[_]): Boolean

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

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

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    Definition Classes
    Params
  76. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  77. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  84. final val logLevel: Param[String]

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    Definition Classes
    SanityCheckerParams
  85. def logName: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  90. final val maxCorrelation: DoubleParam

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    Definition Classes
    SanityCheckerParams
  91. final val maxCramersV: DoubleParam

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    Definition Classes
    SanityCheckerParams
  92. final val maxRuleConfidence: DoubleParam

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    Definition Classes
    SanityCheckerParams
  93. final val minCorrelation: DoubleParam

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    Definition Classes
    SanityCheckerParams
  94. final val minRequiredRuleSupport: DoubleParam

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    Definition Classes
    SanityCheckerParams
  95. final val minVariance: DoubleParam

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    Definition Classes
    SanityCheckerParams
  96. final def ne(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    AnyRef
  99. def onGetMetadata(): Unit

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    Function to be called on getMetadata

    Function to be called on getMetadata

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

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    Function to be called on setInput

    Function to be called on setInput

    Attributes
    protected
    Definition Classes
    SanityCheckerOpPipelineStageBase
  101. 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
    BinaryEstimatorOpPipelineStageBase
  102. 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
  103. def outputFeatureUid: String

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    Attributes
    protected[com.salesforce.op]
    Definition Classes
    OpPipelineStage2OpPipelineStage
  104. 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
    AllowLabelAsInput → OpPipelineStage
  105. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  106. final val protectTextSharedHash: BooleanParam

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    Definition Classes
    SanityCheckerParams
  107. final val removeBadFeatures: BooleanParam

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    Definition Classes
    SanityCheckerParams
  108. final val removeFeatureGroup: BooleanParam

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    Definition Classes
    SanityCheckerParams
  109. final val sampleLowerLimit: IntParam

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    Definition Classes
    SanityCheckerParams
  110. final val sampleSeed: LongParam

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    Definition Classes
    SanityCheckerParams
  111. final val sampleUpperLimit: IntParam

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    Definition Classes
    SanityCheckerParams
  112. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  113. final def set(paramPair: ParamPair[_]): SanityChecker.this.type

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

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

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    Definition Classes
    Params
  116. def setCategoricalLabel(value: Boolean): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  117. def setCheckSample(value: Double): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  118. def setCorrelationExclusion(v: CorrelationExclusion): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  119. def setCorrelationType(value: CorrelationType): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  120. final def setDefault(paramPairs: ParamPair[_]*): SanityChecker.this.type

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

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    Attributes
    protected
    Definition Classes
    Params
  122. def setFeatureLabelCorrOnly(value: Boolean): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  123. final def setInput(features: InputFeatures): SanityChecker.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
  124. final def setInputFeatures[S <: OPFeature](features: Array[S]): SanityChecker.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
  125. def setMaxCorrelation(value: Double): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  126. def setMaxCramersV(value: Double): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  127. def setMaxRuleConfidence(value: Double): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  128. final def setMetadata(m: Metadata): SanityChecker.this.type

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    Definition Classes
    OpPipelineStageParams
  129. def setMinCorrelation(value: Double): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  130. def setMinRequiredRuleSupport(value: Double): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  131. def setMinVariance(value: Double): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  132. def setOutputFeatureName(name: String): SanityChecker.this.type

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    Definition Classes
    OpPipelineStage
  133. def setProtectTextSharedHash(value: Boolean): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  134. def setRemoveBadFeatures(value: Boolean): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  135. def setRemoveFeatureGroup(value: Boolean): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  136. def setSampleLowerLimit(value: Int): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  137. def setSampleSeed(value: Long): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  138. def setSampleUpperLimit(value: Int): SanityChecker.this.type

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    Definition Classes
    SanityCheckerParams
  139. 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
  140. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  141. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  142. 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
  143. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  144. implicit val tti1: scala.reflect.api.JavaUniverse.TypeTag[RealNN]

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    type tag for first input

    type tag for first input

    Definition Classes
    BinaryEstimator
  145. implicit val tti2: scala.reflect.api.JavaUniverse.TypeTag[OPVector]

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    type tag for second input

    type tag for second input

    Definition Classes
    BinaryEstimator
  146. implicit val ttiv1: scala.reflect.api.JavaUniverse.TypeTag[features.types.RealNN.Value]

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    type tag for first input value

    type tag for first input value

    Definition Classes
    BinaryEstimator
  147. implicit val ttiv2: scala.reflect.api.JavaUniverse.TypeTag[Value]

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    type tag for second input value

    type tag for second input value

    Definition Classes
    BinaryEstimator
  148. implicit val tto: scala.reflect.api.JavaUniverse.TypeTag[OPVector]

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    type tag for output

    type tag for output

    Definition Classes
    BinaryEstimatorOpPipelineStage2
  149. 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
    BinaryEstimatorOpPipelineStage2
  150. implicit val tupleEncoder: Encoder[(features.types.RealNN.Value, Value)]

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    Definition Classes
    BinaryEstimator
  151. val uid: String

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    uid for instance

    uid for instance

    Definition Classes
    BinaryEstimator → Identifiable
  152. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  155. final def write: MLWriter

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    Definition Classes
    OpPipelineStageBase → MLWritable

Inherited from AllowLabelAsInput[OPVector]

Inherited from SanityCheckerParams

Inherited from HasIn2

Inherited from HasIn1

Inherited from OpPipelineStage[OPVector]

Inherited from OpPipelineStageBase

Inherited from MLWritable

Inherited from OpPipelineStageParams

Inherited from InputParams

Inherited from Estimator[BinaryModel[RealNN, OPVector, 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