Class

com.salesforce.op.stages.impl.classification

OpLogisticRegressionModel

Related Doc: package classification

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class OpLogisticRegressionModel extends OpProbabilisticClassifierModel[LogisticRegressionModel]

Class that takes in a spark LogisticRegressionModel and wraps it into an OP model which returns a Prediction feature

Linear Supertypes
OpProbabilisticClassifierModel[LogisticRegressionModel], OpPredictorWrapperModel[LogisticRegressionModel], OpTransformer2[RealNN, OPVector, Prediction], OpTransformer, OpPipelineStage2[RealNN, OPVector, Prediction], HasOut[Prediction], HasIn2, HasIn1, OpPipelineStage[Prediction], OpPipelineStageBase, MLWritable, OpPipelineStageParams, InputParams, SparkWrapperParams[LogisticRegressionModel], Model[OpPredictorWrapperModel[LogisticRegressionModel]], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Ordering
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  2. By Inheritance
Inherited
  1. OpLogisticRegressionModel
  2. OpProbabilisticClassifierModel
  3. OpPredictorWrapperModel
  4. OpTransformer2
  5. OpTransformer
  6. OpPipelineStage2
  7. HasOut
  8. HasIn2
  9. HasIn1
  10. OpPipelineStage
  11. OpPipelineStageBase
  12. MLWritable
  13. OpPipelineStageParams
  14. InputParams
  15. SparkWrapperParams
  16. Model
  17. Transformer
  18. PipelineStage
  19. Logging
  20. Params
  21. Serializable
  22. Serializable
  23. Identifiable
  24. AnyRef
  25. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new OpLogisticRegressionModel(sparkModel: LogisticRegressionModel, uid: String = UID[OpLogisticRegressionModel], operationName: String = ...)(implicit tti1: scala.reflect.api.JavaUniverse.TypeTag[RealNN], tti2: scala.reflect.api.JavaUniverse.TypeTag[OPVector], tto: scala.reflect.api.JavaUniverse.TypeTag[Prediction], ttov: scala.reflect.api.JavaUniverse.TypeTag[Map[String, Double]])

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    sparkModel

    model to wrap

    uid

    uid to give stage

    operationName

    unique name of the operation this stage performs

Type Members

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

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    Definition Classes
    OpPipelineStage2 → OpPipelineStage → InputParams

  2. type KeyValue = (String) ⇒ Any

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    Definition Classes
    OpTransformer

  3. final type OutputFeatures = FeatureLike[Prediction]

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    Definition Classes
    OpPipelineStage → OpPipelineStageBase

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 checkInputLength(features: Array[_]): Boolean

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    Definition Classes
    OpPipelineStage2 → InputParams

  7. final def checkSerializable: Try[Unit]

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    Definition Classes
    OpTransformer2 → OpPipelineStageBase

  8. final def clear(param: Param[_]): OpLogisticRegressionModel.this.type

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    Definition Classes
    Params

  9. def clone(): AnyRef

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

  10. final def copy(extra: ParamMap): OpLogisticRegressionModel.this.type

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    Definition Classes
    OpPipelineStageBase → Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  14. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  16. def explainParams(): String

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    Definition Classes
    Params

  17. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  19. def finalize(): Unit

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  23. def getInputColParamNames(): Array[String]

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    Definition Classes
    SparkWrapperParams

  24. final def getInputFeature[T <: FeatureType](i: Int): Option[FeatureLike[T]]

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    Definition Classes
    InputParams

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

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    Definition Classes
    InputParams

  26. final def getInputSchema(): StructType

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    Definition Classes
    OpPipelineStageParams

  27. final def getMetadata(): Metadata

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    Definition Classes
    OpPipelineStageParams

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

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    Definition Classes
    Params

  29. def getOutput(): FeatureLike[Prediction]

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    Definition Classes
    HasOut → OpPipelineStageBase

  30. def getOutputColParamNames(): Array[String]

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    Definition Classes
    SparkWrapperParams

  31. final def getOutputFeatureName: String

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    Definition Classes
    OpPipelineStage

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

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    Definition Classes
    Params

  33. def getSparkMlStage(): Option[LogisticRegressionModel]

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    Definition Classes
    SparkWrapperParams

  34. def getStageSavePath(): Option[String]

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    Definition Classes
    SparkWrapperParams

  35. final def getTransientFeature(i: Int): Option[TransientFeature]

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    Definition Classes
    InputParams

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

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    Definition Classes
    InputParams

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

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    Definition Classes
    Params

  38. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  39. def hasParent: Boolean

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    Definition Classes
    Model

  40. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  41. final def in1: TransientFeature

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    Attributes
    protected
    Definition Classes
    HasIn1

  42. final def in2: TransientFeature

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    Attributes
    protected
    Definition Classes
    HasIn2

  43. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  44. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  45. final def inputAsArray(in: InputFeatures): Array[OPFeature]

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    Definition Classes
    OpPipelineStage2 → InputParams

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

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    Definition Classes
    Params

  47. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  49. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  50. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  57. def logName: String

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    AnyRef

  63. final def notify(): Unit

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    Definition Classes
    AnyRef

  64. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  65. def onGetMetadata(): Unit

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    Attributes
    protected
    Definition Classes
    OpPipelineStageParams

  66. def onSetInput(): Unit

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    Attributes
    protected
    Definition Classes
    InputParams

  67. val operationName: String

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    Definition Classes
    OpPredictorWrapperModel → OpPipelineStageBase

  68. final def outputAsArray(out: OutputFeatures): Array[OPFeature]

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    Definition Classes
    OpPipelineStage → OpPipelineStageBase

  69. def outputFeatureUid: String

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    Attributes
    protected[com.salesforce.op]
    Definition Classes
    OpPipelineStage2 → OpPipelineStage

  70. def outputIsResponse: Boolean

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    Definition Classes
    OpPipelineStage

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

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    Definition Classes
    Params

  72. var parent: Estimator[OpPredictorWrapperModel[LogisticRegressionModel]]

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    Definition Classes
    Model

  73. def predictRaw(features: Vector): Vector

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    Attributes
    protected
    Definition Classes
    OpProbabilisticClassifierModel

  74. lazy val predictRawMirror: scala.reflect.api.JavaUniverse.MethodMirror

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    Definition Classes
    OpLogisticRegressionModel → OpProbabilisticClassifierModel

  75. def probability2prediction(prob: Vector): Double

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    Attributes
    protected
    Definition Classes
    OpProbabilisticClassifierModel

  76. lazy val probability2predictionMirror: scala.reflect.api.JavaUniverse.MethodMirror

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    Definition Classes
    OpLogisticRegressionModel → OpProbabilisticClassifierModel

  77. def raw2probability(raw: Vector): Vector

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    Attributes
    protected
    Definition Classes
    OpProbabilisticClassifierModel

  78. lazy val raw2probabilityMirror: scala.reflect.api.JavaUniverse.MethodMirror

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    Definition Classes
    OpLogisticRegressionModel → OpProbabilisticClassifierModel

  79. def save(path: String): Unit

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

  80. final def set(paramPair: ParamPair[_]): OpLogisticRegressionModel.this.type

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    Attributes
    protected
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    Params

  81. final def set(param: String, value: Any): OpLogisticRegressionModel.this.type

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    Attributes
    protected
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    Params

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

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    Definition Classes
    Params

  83. final def setDefault(paramPairs: ParamPair[_]*): OpLogisticRegressionModel.this.type

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  85. final def setInput(features: InputFeatures): OpLogisticRegressionModel.this.type

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    Definition Classes
    OpPipelineStageBase

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

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    Attributes
    protected
    Definition Classes
    InputParams

  87. final def setMetadata(m: Metadata): OpLogisticRegressionModel.this.type

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    Definition Classes
    OpPipelineStageParams

  88. def setOutputFeatureName(name: String): OpLogisticRegressionModel.this.type

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    Definition Classes
    OpPipelineStage

  89. def setParent(parent: Estimator[OpPredictorWrapperModel[LogisticRegressionModel]]): OpPredictorWrapperModel[LogisticRegressionModel]

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    Definition Classes
    Model

  90. def setSparkMlStage(stage: Option[LogisticRegressionModel]): OpLogisticRegressionModel.this.type

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    Attributes
    protected
    Definition Classes
    SparkWrapperParams

  91. def setStageSavePath(path: String): OpLogisticRegressionModel.this.type

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    Definition Classes
    SparkWrapperParams

  92. final val sparkInputColParamNames: StringArrayParam

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    Definition Classes
    SparkWrapperParams

  93. final val sparkMlStage: SparkStageParam[LogisticRegressionModel]

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    Definition Classes
    SparkWrapperParams

  94. val sparkModel: LogisticRegressionModel

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    Definition Classes
    OpPredictorWrapperModel

  95. final val sparkOutputColParamNames: StringArrayParam

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    Definition Classes
    SparkWrapperParams

  96. final def stageName: String

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    Definition Classes
    OpPipelineStageBase

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

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    Definition Classes
    AnyRef

  98. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    Definition Classes
    OpTransformer2 → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  102. def transformFn: (RealNN, OPVector) ⇒ Prediction

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    Function used to convert input to output

    Function used to convert input to output

    Definition Classes
    OpProbabilisticClassifierModel → OpTransformer2

  103. lazy val transformKeyValue: (KeyValue) ⇒ Any

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    Definition Classes
    OpTransformer2 → OpTransformer

  104. def transformMap: (Map[String, Any]) ⇒ Any

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    Definition Classes
    OpTransformer

  105. def transformRow: (Row) ⇒ Any

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    Definition Classes
    OpTransformer

  106. final def transformSchema(schema: StructType): StructType

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    Definition Classes
    OpPipelineStageBase

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  108. implicit val tti1: scala.reflect.api.JavaUniverse.TypeTag[RealNN]

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    Definition Classes
    OpPredictorWrapperModel → OpTransformer2

  109. implicit val tti2: scala.reflect.api.JavaUniverse.TypeTag[OPVector]

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    Definition Classes
    OpPredictorWrapperModel → OpTransformer2

  110. implicit val tto: scala.reflect.api.JavaUniverse.TypeTag[Prediction]

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    Definition Classes
    OpPredictorWrapperModel → HasOut

  111. implicit val ttov: scala.reflect.api.JavaUniverse.TypeTag[Map[String, Double]]

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    Definition Classes
    OpPredictorWrapperModel → HasOut

  112. val uid: String

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    Definition Classes
    OpPredictorWrapperModel → Identifiable

  113. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  116. final def write: MLWriter

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    Definition Classes
    OpPipelineStageBase → MLWritable

Inherited from OpProbabilisticClassifierModel[LogisticRegressionModel]

Inherited from OpPredictorWrapperModel[LogisticRegressionModel]

Inherited from OpTransformer2[RealNN, OPVector, Prediction]

Inherited from OpTransformer

Inherited from OpPipelineStage2[RealNN, OPVector, Prediction]

Inherited from HasOut[Prediction]

Inherited from HasIn2

Inherited from HasIn1

Inherited from OpPipelineStage[Prediction]

Inherited from OpPipelineStageBase

Inherited from MLWritable

Inherited from OpPipelineStageParams

Inherited from InputParams

Inherited from SparkWrapperParams[LogisticRegressionModel]

Inherited from Model[OpPredictorWrapperModel[LogisticRegressionModel]]

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped