Class/Object

com.microsoft.ml.spark

LightGBMRegressionModel

Related Docs: object LightGBMRegressionModel | package spark

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class LightGBMRegressionModel extends RegressionModel[Vector, LightGBMRegressionModel] with ConstructorWritable[LightGBMRegressionModel]

Model produced by LightGBMRegressor.

Annotations
@InternalWrapper()
Linear Supertypes
ConstructorWritable[LightGBMRegressionModel], MLWritable, RegressionModel[Vector, LightGBMRegressionModel], PredictionModel[Vector, LightGBMRegressionModel], PredictorParams, HasPredictionCol, org.apache.spark.ml.param.shared.HasFeaturesCol, org.apache.spark.ml.param.shared.HasLabelCol, Model[LightGBMRegressionModel], Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  2. By Inheritance
Inherited
  1. LightGBMRegressionModel
  2. ConstructorWritable
  3. MLWritable
  4. RegressionModel
  5. PredictionModel
  6. PredictorParams
  7. HasPredictionCol
  8. HasFeaturesCol
  9. HasLabelCol
  10. Model
  11. Transformer
  12. PipelineStage
  13. Logging
  14. Params
  15. Serializable
  16. Serializable
  17. Identifiable
  18. AnyRef
  19. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new LightGBMRegressionModel(uid: String, model: LightGBMBooster, labelColName: String, featuresColName: String, predictionColName: String)

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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 clear(param: Param[_]): LightGBMRegressionModel.this.type

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    Definition Classes
    Params
  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. def copy(extra: ParamMap): LightGBMRegressionModel

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    Definition Classes
    LightGBMRegressionModel → Model → Transformer → PipelineStage → Params
  9. def copyValues[T <: Params](to: T, extra: ParamMap): T

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

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

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

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

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    Definition Classes
    Params
  14. def explainParams(): String

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

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

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    Definition Classes
    Params
  17. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol
  18. def featuresDataType: DataType

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    Attributes
    protected
    Definition Classes
    PredictionModel
  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 getFeatureImportances(importanceType: String): Array[Double]

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  24. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol
  25. final def getLabelCol: String

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    Definition Classes
    HasLabelCol
  26. def getModel: LightGBMBooster

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

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    Definition Classes
    Params
  28. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  29. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol
  30. final def hasDefault[T](param: Param[T]): Boolean

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

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    Definition Classes
    Params
  32. def hasParent: Boolean

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    Definition Classes
    Model
  33. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  34. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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

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

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

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

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    Definition Classes
    Params
  39. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  40. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol
  41. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  48. def logName: String

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

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

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

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

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

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

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

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    Definition Classes
    AnyRef
  56. def numFeatures: Int

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    Definition Classes
    PredictionModel
    Annotations
    @Since( "1.6.0" )
  57. def objectsToSave: List[Any]

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

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    Definition Classes
    Params
  59. var parent: Estimator[LightGBMRegressionModel]

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    Definition Classes
    Model
  60. def predict(features: Vector): Double

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    Attributes
    protected
    Definition Classes
    LightGBMRegressionModel → PredictionModel
  61. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol
  62. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  63. def saveNativeModel(filename: String, overwrite: Boolean): Unit

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  64. final def set(paramPair: ParamPair[_]): LightGBMRegressionModel.this.type

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

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

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    Definition Classes
    Params
  67. final def setDefault(paramPairs: ParamPair[_]*): LightGBMRegressionModel.this.type

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

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    Attributes
    protected
    Definition Classes
    Params
  69. def setFeaturesCol(value: String): LightGBMRegressionModel

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    Definition Classes
    PredictionModel
  70. def setParent(parent: Estimator[LightGBMRegressionModel]): LightGBMRegressionModel

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    Definition Classes
    Model
  71. def setPredictionCol(value: String): LightGBMRegressionModel

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    Definition Classes
    PredictionModel
  72. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  73. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  74. def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    PredictionModel → Transformer
  75. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  76. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  77. def transformImpl(dataset: Dataset[_]): DataFrame

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    Attributes
    protected
    Definition Classes
    PredictionModel
  78. def transformSchema(schema: StructType): StructType

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    Definition Classes
    PredictionModel → PipelineStage
  79. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  80. val ttag: scala.reflect.api.JavaUniverse.TypeTag[LightGBMRegressionModel]

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  81. val uid: String

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    Definition Classes
    LightGBMRegressionModelConstructorWritable → Identifiable
  82. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType

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    Attributes
    protected
    Definition Classes
    PredictorParams
  83. final def wait(): Unit

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

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

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

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    Definition Classes
    ConstructorWritable → MLWritable

Inherited from MLWritable

Inherited from RegressionModel[Vector, LightGBMRegressionModel]

Inherited from PredictionModel[Vector, LightGBMRegressionModel]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from org.apache.spark.ml.param.shared.HasFeaturesCol

Inherited from org.apache.spark.ml.param.shared.HasLabelCol

Inherited from Model[LightGBMRegressionModel]

Inherited from Transformer

Inherited from PipelineStage

Inherited from org.apache.spark.internal.Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Members