Trait

ai.catboost.spark.params

RegressorTrainingParamsTrait

Related Doc: package params

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trait RegressorTrainingParamsTrait extends TrainingParamsTrait

Params for training CatBoostRegressor. See documentation at https://catboost.ai/docs/ for details.

Linear Supertypes
TrainingParamsTrait, HasWeightCol, HasFeaturesCol, HasLabelCol, QuantizationParamsTrait, ThreadCountParams, IgnoredFeaturesParams, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
CatBoostRegressor
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Inherited
  1. RegressorTrainingParamsTrait
  2. TrainingParamsTrait
  3. HasWeightCol
  4. HasFeaturesCol
  5. HasLabelCol
  6. QuantizationParamsTrait
  7. ThreadCountParams
  8. IgnoredFeaturesParams
  9. Params
  10. Serializable
  11. Serializable
  12. Identifiable
  13. AnyRef
  14. Any
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Abstract Value Members

  1. abstract def copy(extra: ParamMap): Params

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    Definition Classes
    Params

  2. abstract val uid: String

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    Definition Classes
    Identifiable

Concrete 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 val allowConstLabel: BooleanParam

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    Definition Classes
    TrainingParamsTrait

  6. final val allowWritingFiles: BooleanParam

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    Definition Classes
    TrainingParamsTrait

  7. final val approxOnFullHistory: BooleanParam

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    Definition Classes
    TrainingParamsTrait

  8. final def asInstanceOf[T0]: T0

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    Any

  9. final val baggingTemperature: FloatParam

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    TrainingParamsTrait

  10. final val bestModelMinTrees: IntParam

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    TrainingParamsTrait

  11. final val bootstrapType: EnumParam[EBootstrapType]

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    TrainingParamsTrait

  12. final val borderCount: IntParam

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    Definition Classes
    QuantizationParamsTrait

  13. final def clear(param: Param[_]): RegressorTrainingParamsTrait.this.type

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    Definition Classes
    Params

  14. def clone(): AnyRef

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

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

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    Params

  16. final val customMetric: StringArrayParam

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    Definition Classes
    TrainingParamsTrait

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

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    Params

  18. final val depth: IntParam

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    Definition Classes
    TrainingParamsTrait

  19. final val diffusionTemperature: FloatParam

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    Definition Classes
    TrainingParamsTrait

  20. final val earlyStoppingRounds: IntParam

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    TrainingParamsTrait

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

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    AnyRef

  22. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  23. final val evalMetric: Param[String]

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    TrainingParamsTrait

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

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    Params

  25. def explainParams(): String

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    Params

  26. final def extractParamMap(): ParamMap

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    Params

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

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    Params

  28. final val featureBorderType: EnumParam[EBorderSelectionType]

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    Definition Classes
    QuantizationParamsTrait

  29. final val featureWeightsList: DoubleArrayParam

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    TrainingParamsTrait

  30. final val featureWeightsMap: OrderedStringMapParam[Double]

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    TrainingParamsTrait

  31. final val featuresCol: Param[String]

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    HasFeaturesCol

  32. def finalize(): Unit

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    AnyRef
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    @throws( classOf[java.lang.Throwable] )

  33. final val firstFeatureUsePenaltiesList: DoubleArrayParam

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    TrainingParamsTrait

  34. final val firstFeatureUsePenaltiesMap: OrderedStringMapParam[Double]

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    TrainingParamsTrait

  35. final val foldLenMultiplier: FloatParam

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    TrainingParamsTrait

  36. final val foldPermutationBlock: IntParam

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    TrainingParamsTrait

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

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    Params

  38. final def getAllowConstLabel: Boolean

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    TrainingParamsTrait

  39. final def getAllowWritingFiles: Boolean

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    TrainingParamsTrait

  40. final def getApproxOnFullHistory: Boolean

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    TrainingParamsTrait

  41. final def getBaggingTemperature: Float

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    TrainingParamsTrait

  42. final def getBestModelMinTrees: Int

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    Definition Classes
    TrainingParamsTrait

  43. final def getBootstrapType: EBootstrapType

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    Definition Classes
    TrainingParamsTrait

  44. final def getBorderCount: Int

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    Definition Classes
    QuantizationParamsTrait

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

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    Definition Classes
    AnyRef → Any

  46. final def getCustomMetric: Array[String]

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    Definition Classes
    TrainingParamsTrait

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

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    Definition Classes
    Params

  48. final def getDepth: Int

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    Definition Classes
    TrainingParamsTrait

  49. final def getDiffusionTemperature: Float

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    Definition Classes
    TrainingParamsTrait

  50. final def getEarlyStoppingRounds: Int

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    Definition Classes
    TrainingParamsTrait

  51. final def getEvalMetric: String

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    Definition Classes
    TrainingParamsTrait

  52. final def getFeatureBorderType: EBorderSelectionType

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    Definition Classes
    QuantizationParamsTrait

  53. final def getFeatureWeightsList: Array[Double]

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    TrainingParamsTrait

  54. final def getFeatureWeightsMap: LinkedHashMap[String, Double]

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    TrainingParamsTrait

  55. final def getFeaturesCol: String

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    HasFeaturesCol

  56. final def getFirstFeatureUsePenaltiesList: Array[Double]

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    TrainingParamsTrait

  57. final def getFirstFeatureUsePenaltiesMap: LinkedHashMap[String, Double]

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    TrainingParamsTrait

  58. final def getFoldLenMultiplier: Float

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    TrainingParamsTrait

  59. final def getFoldPermutationBlock: Int

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    TrainingParamsTrait

  60. final def getHasTime: Boolean

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    TrainingParamsTrait

  61. final def getIgnoredFeaturesIndices: Array[Int]

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    IgnoredFeaturesParams

  62. final def getIgnoredFeaturesNames: Array[String]

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    IgnoredFeaturesParams

  63. final def getInputBorders: String

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    Definition Classes
    QuantizationParamsTrait

  64. final def getIterations: Int

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    TrainingParamsTrait

  65. final def getL2LeafReg: Float

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    TrainingParamsTrait

  66. final def getLabelCol: String

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    HasLabelCol

  67. final def getLeafEstimationBacktracking: ELeavesEstimationStepBacktracking

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    TrainingParamsTrait

  68. final def getLeafEstimationIterations: Int

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    TrainingParamsTrait

  69. final def getLeafEstimationMethod: ELeavesEstimation

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    TrainingParamsTrait

  70. final def getLearningRate: Float

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    TrainingParamsTrait

  71. final def getLoggingLevel: ELoggingLevel

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    TrainingParamsTrait

  72. final def getLossFunction: String

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    TrainingParamsTrait

  73. final def getMetricPeriod: Int

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    TrainingParamsTrait

  74. final def getModelShrinkMode: EModelShrinkMode

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    TrainingParamsTrait

  75. final def getModelShrinkRate: Float

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    TrainingParamsTrait

  76. final def getMvsReg: Float

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    TrainingParamsTrait

  77. final def getNanMode: ENanMode

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    QuantizationParamsTrait

  78. final def getOdPval: Float

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    TrainingParamsTrait

  79. final def getOdType: EOverfittingDetectorType

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    TrainingParamsTrait

  80. final def getOdWait: Int

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    TrainingParamsTrait

  81. final def getOneHotMaxSize: Int

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    TrainingParamsTrait

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

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    Params

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

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    Params

  84. final def getPenaltiesCoefficient: Float

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    TrainingParamsTrait

  85. final def getPerFloatFeatureQuantizaton: Array[String]

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    QuantizationParamsTrait

  86. final def getPerObjectFeaturePenaltiesList: Array[Double]

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    TrainingParamsTrait

  87. final def getPerObjectFeaturePenaltiesMap: LinkedHashMap[String, Double]

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    TrainingParamsTrait

  88. final def getRandomSeed: Int

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    TrainingParamsTrait

  89. final def getRandomStrength: Float

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    TrainingParamsTrait

  90. final def getRsm: Float

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    TrainingParamsTrait

  91. final def getSamplingFrequency: ESamplingFrequency

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    TrainingParamsTrait

  92. final def getSamplingUnit: ESamplingUnit

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    TrainingParamsTrait

  93. final def getSaveSnapshot: Boolean

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    TrainingParamsTrait

  94. final def getScoreFunction: EScoreFunction

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    TrainingParamsTrait

  95. final def getSnapshotFile: String

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    TrainingParamsTrait

  96. final def getSnapshotInterval: Duration

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    TrainingParamsTrait

  97. final def getSparkPartitionCount: Int

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    TrainingParamsTrait

  98. final def getSubsample: Float

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    TrainingParamsTrait

  99. final def getThreadCount: Int

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    ThreadCountParams

  100. final def getTrainDir: String

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    TrainingParamsTrait

  101. final def getUseBestModel: Boolean

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    TrainingParamsTrait

  102. final def getWeightCol: String

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    Definition Classes
    HasWeightCol

  103. final def getWorkerInitializationTimeout: Duration

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    TrainingParamsTrait

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

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    Params

  105. def hasParam(paramName: String): Boolean

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    Params

  106. final val hasTime: BooleanParam

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    TrainingParamsTrait

  107. def hashCode(): Int

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    AnyRef → Any

  108. final val ignoredFeaturesIndices: IntArrayParam

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    IgnoredFeaturesParams

  109. final val ignoredFeaturesNames: StringArrayParam

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    IgnoredFeaturesParams

  110. final val inputBorders: Param[String]

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    QuantizationParamsTrait

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

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    Params

  112. final def isInstanceOf[T0]: Boolean

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    Any

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

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  114. final val iterations: IntParam

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    TrainingParamsTrait

  115. final val l2LeafReg: FloatParam

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    TrainingParamsTrait

  116. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  117. final val leafEstimationBacktracking: EnumParam[ELeavesEstimationStepBacktracking]

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    TrainingParamsTrait

  118. final val leafEstimationIterations: IntParam

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    TrainingParamsTrait

  119. final val leafEstimationMethod: EnumParam[ELeavesEstimation]

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    TrainingParamsTrait

  120. final val learningRate: FloatParam

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    TrainingParamsTrait

  121. final val loggingLevel: EnumParam[ELoggingLevel]

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    TrainingParamsTrait

  122. final val lossFunction: Param[String]

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  123. final val metricPeriod: IntParam

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  124. final val modelShrinkMode: EnumParam[EModelShrinkMode]

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    TrainingParamsTrait

  125. final val modelShrinkRate: FloatParam

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  126. final val mvsReg: FloatParam

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    TrainingParamsTrait

  127. final val nanMode: EnumParam[ENanMode]

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    QuantizationParamsTrait

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

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    AnyRef

  129. final def notify(): Unit

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  130. final def notifyAll(): Unit

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    AnyRef

  131. final val odPval: FloatParam

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    TrainingParamsTrait

  132. final val odType: EnumParam[EOverfittingDetectorType]

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    TrainingParamsTrait

  133. final val odWait: IntParam

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  134. final val oneHotMaxSize: IntParam

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    TrainingParamsTrait

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

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    Params

  136. final val penaltiesCoefficient: FloatParam

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    TrainingParamsTrait

  137. final val perFloatFeatureQuantizaton: StringArrayParam

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    QuantizationParamsTrait

  138. final val perObjectFeaturePenaltiesList: DoubleArrayParam

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    TrainingParamsTrait

  139. final val perObjectFeaturePenaltiesMap: OrderedStringMapParam[Double]

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    TrainingParamsTrait

  140. final val randomSeed: IntParam

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    TrainingParamsTrait

  141. final val randomStrength: FloatParam

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    TrainingParamsTrait

  142. final val rsm: FloatParam

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    TrainingParamsTrait

  143. final val samplingFrequency: EnumParam[ESamplingFrequency]

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    TrainingParamsTrait

  144. final val samplingUnit: EnumParam[ESamplingUnit]

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    TrainingParamsTrait

  145. final val saveSnapshot: BooleanParam

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  146. final val scoreFunction: EnumParam[EScoreFunction]

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    TrainingParamsTrait

  147. final def set(paramPair: ParamPair[_]): RegressorTrainingParamsTrait.this.type

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  148. final def set(param: String, value: Any): RegressorTrainingParamsTrait.this.type

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

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  150. final def setAllowConstLabel(value: Boolean): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  151. final def setAllowWritingFiles(value: Boolean): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  152. final def setApproxOnFullHistory(value: Boolean): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  153. final def setBaggingTemperature(value: Float): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  154. final def setBestModelMinTrees(value: Int): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  155. final def setBootstrapType(value: EBootstrapType): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  156. final def setBorderCount(value: Int): RegressorTrainingParamsTrait.this.type

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    QuantizationParamsTrait

  157. final def setCustomMetric(value: Array[String]): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  158. final def setDefault(paramPairs: ParamPair[_]*): RegressorTrainingParamsTrait.this.type

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

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  160. final def setDepth(value: Int): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  161. final def setDiffusionTemperature(value: Float): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  162. final def setEarlyStoppingRounds(value: Int): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  163. final def setEvalMetric(value: String): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  164. final def setFeatureBorderType(value: EBorderSelectionType): RegressorTrainingParamsTrait.this.type

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    QuantizationParamsTrait

  165. final def setFeatureWeightsList(value: Array[Double]): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  166. final def setFeatureWeightsMap(value: LinkedHashMap[String, Double]): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  167. final def setFirstFeatureUsePenaltiesList(value: Array[Double]): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  168. final def setFirstFeatureUsePenaltiesMap(value: LinkedHashMap[String, Double]): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  169. final def setFoldLenMultiplier(value: Float): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  170. final def setFoldPermutationBlock(value: Int): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  171. final def setHasTime(value: Boolean): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  172. final def setIgnoredFeaturesIndices(value: Array[Int]): RegressorTrainingParamsTrait.this.type

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    IgnoredFeaturesParams

  173. final def setIgnoredFeaturesNames(value: Array[String]): RegressorTrainingParamsTrait.this.type

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    IgnoredFeaturesParams

  174. final def setInputBorders(value: String): RegressorTrainingParamsTrait.this.type

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    QuantizationParamsTrait

  175. final def setIterations(value: Int): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  176. final def setL2LeafReg(value: Float): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  177. final def setLeafEstimationBacktracking(value: ELeavesEstimationStepBacktracking): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  178. final def setLeafEstimationIterations(value: Int): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  179. final def setLeafEstimationMethod(value: ELeavesEstimation): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  180. final def setLearningRate(value: Float): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  181. final def setLoggingLevel(value: ELoggingLevel): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  182. final def setLossFunction(value: String): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  183. final def setMetricPeriod(value: Int): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  184. final def setModelShrinkMode(value: EModelShrinkMode): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  185. final def setModelShrinkRate(value: Float): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  186. final def setMvsReg(value: Float): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  187. final def setNanMode(value: ENanMode): RegressorTrainingParamsTrait.this.type

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    Definition Classes
    QuantizationParamsTrait

  188. final def setOdPval(value: Float): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  189. final def setOdType(value: EOverfittingDetectorType): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  190. final def setOdWait(value: Int): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  191. final def setOneHotMaxSize(value: Int): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  192. final def setPenaltiesCoefficient(value: Float): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  193. final def setPerFloatFeatureQuantizaton(value: Array[String]): RegressorTrainingParamsTrait.this.type

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    Definition Classes
    QuantizationParamsTrait

  194. final def setPerObjectFeaturePenaltiesList(value: Array[Double]): RegressorTrainingParamsTrait.this.type

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    Definition Classes
    TrainingParamsTrait

  195. final def setPerObjectFeaturePenaltiesMap(value: LinkedHashMap[String, Double]): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  196. final def setRandomSeed(value: Int): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  197. final def setRandomStrength(value: Float): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  198. final def setRsm(value: Float): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  199. final def setSamplingFrequency(value: ESamplingFrequency): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  200. final def setSamplingUnit(value: ESamplingUnit): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  201. final def setSaveSnapshot(value: Boolean): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  202. final def setScoreFunction(value: EScoreFunction): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  203. final def setSnapshotFile(value: String): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  204. final def setSnapshotInterval(value: Duration): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  205. final def setSparkPartitionCount(value: Int): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  206. final def setSubsample(value: Float): RegressorTrainingParamsTrait.this.type

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    TrainingParamsTrait

  207. final def setThreadCount(value: Int): RegressorTrainingParamsTrait.this.type

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    Definition Classes
    ThreadCountParams

  208. final def setTrainDir(value: String): RegressorTrainingParamsTrait.this.type

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    Definition Classes
    TrainingParamsTrait

  209. final def setUseBestModel(value: Boolean): RegressorTrainingParamsTrait.this.type

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    Definition Classes
    TrainingParamsTrait

  210. final def setWorkerInitializationTimeout(value: Duration): RegressorTrainingParamsTrait.this.type

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    Definition Classes
    TrainingParamsTrait

  211. final val snapshotFile: Param[String]

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    Definition Classes
    TrainingParamsTrait

  212. final val snapshotInterval: DurationParam

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    Definition Classes
    TrainingParamsTrait

  213. final val sparkPartitionCount: IntParam

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    Definition Classes
    TrainingParamsTrait

  214. final val subsample: FloatParam

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    Definition Classes
    TrainingParamsTrait

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

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    Definition Classes
    AnyRef

  216. final val threadCount: IntParam

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    Definition Classes
    ThreadCountParams

  217. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  218. final val trainDir: Param[String]

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    Definition Classes
    TrainingParamsTrait

  219. final val useBestModel: BooleanParam

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    Definition Classes
    TrainingParamsTrait

  220. final def wait(): Unit

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    Definition Classes
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    Annotations
    @throws( ... )

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

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    Definition Classes
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    Annotations
    @throws( ... )

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

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    Definition Classes
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    Annotations
    @throws( ... )

  223. final val weightCol: Param[String]

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    Definition Classes
    HasWeightCol

  224. final val workerInitializationTimeout: DurationParam

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    Definition Classes
    TrainingParamsTrait

Inherited from TrainingParamsTrait

Inherited from HasWeightCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from QuantizationParamsTrait

Inherited from ThreadCountParams

Inherited from IgnoredFeaturesParams

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped