Class

com.salesforce.op.stages.base.ternary

TernaryEstimator

Related Doc: package ternary

Permalink

abstract class TernaryEstimator[I1 <: FeatureType, I2 <: FeatureType, I3 <: FeatureType, O <: FeatureType] extends Estimator[TernaryModel[I1, I2, I3, O]] with OpPipelineStage3[I1, I2, I3, O]

Takes a three input features and performs a fit operation in order to define a transformation for those (or similar) features. This abstract class should be extended when settable parameters are needed within the fit function

I1

first input feature type

I2

second input feature type

I3

third input feature type

O

output feature type

Linear Supertypes
OpPipelineStage3[I1, I2, I3, O], HasIn3, HasIn2, HasIn1, OpPipelineStage[O], OpPipelineStageBase, MLWritable, OpPipelineStageParams, InputParams, Estimator[TernaryModel[I1, I2, I3, O]], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. TernaryEstimator
  2. OpPipelineStage3
  3. HasIn3
  4. HasIn2
  5. HasIn1
  6. OpPipelineStage
  7. OpPipelineStageBase
  8. MLWritable
  9. OpPipelineStageParams
  10. InputParams
  11. Estimator
  12. PipelineStage
  13. Logging
  14. Params
  15. Serializable
  16. Serializable
  17. Identifiable
  18. AnyRef
  19. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new TernaryEstimator(operationName: String, uid: String)(implicit tti1: scala.reflect.api.JavaUniverse.TypeTag[I1], tti2: scala.reflect.api.JavaUniverse.TypeTag[I2], tti3: scala.reflect.api.JavaUniverse.TypeTag[I3], tto: scala.reflect.api.JavaUniverse.TypeTag[O], ttiv1: scala.reflect.api.JavaUniverse.TypeTag[I1.Value], ttiv2: scala.reflect.api.JavaUniverse.TypeTag[I2.Value], ttiv3: scala.reflect.api.JavaUniverse.TypeTag[I3.Value], ttov: scala.reflect.api.JavaUniverse.TypeTag[O.Value])

    Permalink

    operationName

    unique name of the operation this stage performs

    uid

    uid for instance

    tti1

    type tag for first input

    tti2

    type tag for second input

    tti3

    type tag for third input

    tto

    type tag for input

    ttiv1

    type tag for first input value

    ttiv2

    type tag for second input value

    ttiv3

    type tag for third input value

    ttov

    type tag for output value

Type Members

  1. final type InputFeatures = (FeatureLike[I1], FeatureLike[I2], FeatureLike[I3])

    Permalink

    Input Features type

    Input Features type

    Definition Classes
    OpPipelineStage3OpPipelineStageInputParams
  2. final type OutputFeatures = FeatureLike[O]

    Permalink
    Definition Classes
    OpPipelineStageOpPipelineStageBase

Abstract Value Members

  1. abstract def fitFn(dataset: Dataset[(I1.Value, I2.Value, I3.Value)]): TernaryModel[I1, I2, I3, O]

    Permalink

    Function that fits the ternary model

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T

    Permalink
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any
  6. final def checkInputLength(features: Array[_]): Boolean

    Permalink

    Checks the input length

    Checks the input length

    features

    input features

    returns

    true is input size as expected, false otherwise

    Definition Classes
    OpPipelineStage3InputParams
  7. final def checkSerializable: Try[Unit]

    Permalink

    Check if the stage is serializable

    Check if the stage is serializable

    returns

    Failure if not serializable

    Definition Classes
    TernaryEstimatorOpPipelineStageBase
  8. final def clear(param: Param[_]): TernaryEstimator.this.type

    Permalink
    Definition Classes
    Params
  9. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. val convertI1: FeatureTypeSparkConverter[I1]

    Permalink
  11. val convertI2: FeatureTypeSparkConverter[I2]

    Permalink
  12. val convertI3: FeatureTypeSparkConverter[I3]

    Permalink
  13. final def copy(extra: ParamMap): TernaryEstimator.this.type

    Permalink

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

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

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

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

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

    Permalink
    Definition Classes
    Params
  19. def explainParams(): String

    Permalink
    Definition Classes
    Params
  20. final def extractParamMap(): ParamMap

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

    Permalink
    Definition Classes
    Params
  22. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  23. def fit(dataset: Dataset[_]): TernaryModel[I1, I2, I3, O]

    Permalink

    Spark operation on dataset to produce Dataset[(I1, I2, I3)] for constructor fit function and then turn output function into a Model

    Spark operation on dataset to produce Dataset[(I1, I2, I3)] 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
    TernaryEstimator → Estimator
  24. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[TernaryModel[I1, I2, I3, O]]

    Permalink
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  25. def fit(dataset: Dataset[_], paramMap: ParamMap): TernaryModel[I1, I2, I3, O]

    Permalink
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  26. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): TernaryModel[I1, I2, I3, O]

    Permalink
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  27. final def get[T](param: Param[T]): Option[T]

    Permalink
    Definition Classes
    Params
  28. final def getClass(): Class[_]

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

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

    Permalink

    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

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

    Permalink

    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

  32. final def getInputSchema(): StructType

    Permalink
    Definition Classes
    OpPipelineStageParams
  33. final def getMetadata(): Metadata

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

    Permalink
    Definition Classes
    Params
  35. def getOutput(): FeatureLike[O]

    Permalink

    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
    OpPipelineStage3OpPipelineStageBase
  36. final def getOutputFeatureName: String

    Permalink

    Name of output feature (i.e.

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

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

    Permalink
    Definition Classes
    Params
  38. final def getTransientFeature(i: Int): Option[TransientFeature]

    Permalink

    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
  39. final def getTransientFeatures(): Array[TransientFeature]

    Permalink

    Gets the input Features

    Gets the input Features

    returns

    input features

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

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

    Permalink
    Definition Classes
    Params
  42. def hashCode(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  43. implicit val i1Encoder: Encoder[I1.Value]

    Permalink
  44. implicit val i2Encoder: Encoder[I2.Value]

    Permalink
  45. implicit val i3Encoder: Encoder[I3.Value]

    Permalink
  46. final def in1: TransientFeature

    Permalink
    Attributes
    protected
    Definition Classes
    HasIn1
  47. final def in2: TransientFeature

    Permalink
    Attributes
    protected
    Definition Classes
    HasIn2
  48. final def in3: TransientFeature

    Permalink
    Attributes
    protected
    Definition Classes
    HasIn3
  49. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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

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

    Permalink

    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
    OpPipelineStage3InputParams
  52. final def isDefined(param: Param[_]): Boolean

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

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

    Permalink
    Definition Classes
    Params
  55. def isTraceEnabled(): Boolean

    Permalink
    Attributes
    protected
    Definition Classes
    Logging
  56. def log: Logger

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

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

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

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

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

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging
  63. def logName: String

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

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

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

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging
  68. final def ne(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  69. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef
  70. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef
  71. def onGetMetadata(): Unit

    Permalink

    Function to be called on getMetadata

    Function to be called on getMetadata

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

    Permalink

    Function to be called on setInput

    Function to be called on setInput

    Attributes
    protected
    Definition Classes
    OpPipelineStageBase
  73. val operationName: String

    Permalink

    unique name of the operation this stage performs

    unique name of the operation this stage performs

    Definition Classes
    TernaryEstimatorOpPipelineStageBase
  74. final def outputAsArray(out: OutputFeatures): Array[OPFeature]

    Permalink

    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
  75. def outputFeatureUid: String

    Permalink
    Attributes
    protected[com.salesforce.op]
    Definition Classes
    OpPipelineStage3OpPipelineStage
  76. def outputIsResponse: Boolean

    Permalink

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

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

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

    Permalink
    Attributes
    protected
    Definition Classes
    Params
  80. final def set(param: String, value: Any): TernaryEstimator.this.type

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

    Permalink
    Definition Classes
    Params
  82. final def setDefault(paramPairs: ParamPair[_]*): TernaryEstimator.this.type

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

    Permalink
    Attributes
    protected
    Definition Classes
    Params
  84. final def setInput(features: InputFeatures): TernaryEstimator.this.type

    Permalink

    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
  85. final def setInputFeatures[S <: OPFeature](features: Array[S]): TernaryEstimator.this.type

    Permalink

    Sets input features

    Sets input features

    S

    feature like type

    features

    array of input features

    returns

    this stage

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

    Permalink
    Definition Classes
    OpPipelineStageParams
  87. def setOutputFeatureName(name: String): TernaryEstimator.this.type

    Permalink
    Definition Classes
    OpPipelineStage
  88. final def stageName: String

    Permalink

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

    Permalink
    Definition Classes
    AnyRef
  90. def toString(): String

    Permalink
    Definition Classes
    Identifiable → AnyRef → Any
  91. final def transformSchema(schema: StructType): StructType

    Permalink

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

    Permalink
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  93. implicit val tti1: scala.reflect.api.JavaUniverse.TypeTag[I1]

    Permalink

    type tag for first input

  94. implicit val tti2: scala.reflect.api.JavaUniverse.TypeTag[I2]

    Permalink

    type tag for second input

  95. implicit val tti3: scala.reflect.api.JavaUniverse.TypeTag[I3]

    Permalink

    type tag for third input

  96. implicit val ttiv1: scala.reflect.api.JavaUniverse.TypeTag[I1.Value]

    Permalink

    type tag for first input value

  97. implicit val ttiv2: scala.reflect.api.JavaUniverse.TypeTag[I2.Value]

    Permalink

    type tag for second input value

  98. implicit val ttiv3: scala.reflect.api.JavaUniverse.TypeTag[I3.Value]

    Permalink

    type tag for third input value

  99. implicit val tto: scala.reflect.api.JavaUniverse.TypeTag[O]

    Permalink

    type tag for input

    type tag for input

    Definition Classes
    TernaryEstimatorOpPipelineStage3
  100. implicit val ttov: scala.reflect.api.JavaUniverse.TypeTag[O.Value]

    Permalink

    type tag for output value

    type tag for output value

    Definition Classes
    TernaryEstimatorOpPipelineStage3
  101. implicit val tupleEncoder: Encoder[(I1.Value, I2.Value, I3.Value)]

    Permalink
  102. val uid: String

    Permalink

    uid for instance

    uid for instance

    Definition Classes
    TernaryEstimator → Identifiable
  103. final def wait(): Unit

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

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

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

    Permalink
    Definition Classes
    OpPipelineStageBase → MLWritable

Inherited from OpPipelineStage3[I1, I2, I3, O]

Inherited from HasIn3

Inherited from HasIn2

Inherited from HasIn1

Inherited from OpPipelineStage[O]

Inherited from OpPipelineStageBase

Inherited from MLWritable

Inherited from OpPipelineStageParams

Inherited from InputParams

Inherited from Estimator[TernaryModel[I1, I2, I3, O]]

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