Class/Object

com.microsoft.ml.spark

TrainRegressor

Related Docs: object TrainRegressor | package spark

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class TrainRegressor extends Estimator[TrainedRegressorModel] with AutoTrainer[TrainedRegressorModel]

Trains a regression model.

Annotations
@InternalWrapper()
Linear Supertypes
AutoTrainer[TrainedRegressorModel], HasFeaturesCol, ComplexParamsWritable, MLWritable, HasLabelCol, Wrappable, Estimator[TrainedRegressorModel], PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. TrainRegressor
  2. AutoTrainer
  3. HasFeaturesCol
  4. ComplexParamsWritable
  5. MLWritable
  6. HasLabelCol
  7. Wrappable
  8. Estimator
  9. PipelineStage
  10. Logging
  11. Params
  12. Serializable
  13. Serializable
  14. Identifiable
  15. AnyRef
  16. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new TrainRegressor()

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  2. new TrainRegressor(uid: 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[_]): TrainRegressor.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): Estimator[TrainedRegressorModel]

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    Definition Classes
    TrainRegressor → Estimator → 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. val featuresCol: Param[String]

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    The name of the features column

    The name of the features column

    Definition Classes
    HasFeaturesCol
  18. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  19. def fit(dataset: Dataset[_]): TrainedRegressorModel

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    Fits the regression model.

    Fits the regression model.

    dataset

    The input dataset to train.

    returns

    The trained regression model.

    Definition Classes
    TrainRegressor → Estimator
  20. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[TrainedRegressorModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  21. def fit(dataset: Dataset[_], paramMap: ParamMap): TrainedRegressorModel

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

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

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

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

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    Definition Classes
    Params
  26. def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol
  27. def getLabelCol: String

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    Definition Classes
    HasLabelCol
  28. def getModel: Estimator[_ <: Model[_]]

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    Definition Classes
    AutoTrainer
  29. def getNumFeatures: Int

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    Definition Classes
    AutoTrainer
  30. final def getOrDefault[T](param: Param[T]): T

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

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    Definition Classes
    Params
  32. final def hasDefault[T](param: Param[T]): Boolean

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

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    Definition Classes
    Params
  34. def hashCode(): Int

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

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

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

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

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

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    Definition Classes
    Params
  40. def isTraceEnabled(): Boolean

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

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    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  42. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  49. def logName: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  54. val model: EstimatorParam

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    Model to run.

    Model to run. See doc on derived classes.

    Definition Classes
    AutoTrainer
  55. def modelDoc: String

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    Doc for model to run.

    Doc for model to run.

    Definition Classes
    TrainRegressorAutoTrainer
  56. final def ne(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    AnyRef
  59. val numFeatures: IntParam

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    Number of features to hash to

    Number of features to hash to

    Definition Classes
    AutoTrainer
  60. lazy val params: Array[Param[_]]

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

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

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    Attributes
    protected
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    Params
  63. final def set(param: String, value: Any): TrainRegressor.this.type

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

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

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

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    Attributes
    protected
    Definition Classes
    Params
  67. def setFeaturesCol(value: String): TrainRegressor.this.type

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    Definition Classes
    HasFeaturesCol
  68. def setLabelCol(value: String): TrainRegressor.this.type

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    Definition Classes
    HasLabelCol
  69. def setModel(value: Estimator[_ <: Model[_]]): TrainRegressor.this.type

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    Definition Classes
    AutoTrainer
  70. def setNumFeatures(value: Int): TrainRegressor.this.type

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    Definition Classes
    AutoTrainer
  71. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  72. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  73. def transformSchema(schema: StructType): StructType

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    Definition Classes
    TrainRegressor → PipelineStage
    Annotations
    @DeveloperApi()
  74. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  75. val uid: String

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    Definition Classes
    TrainRegressor → Identifiable
  76. final def wait(): Unit

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

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

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

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    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from HasFeaturesCol

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from HasLabelCol

Inherited from Wrappable

Inherited from Estimator[TrainedRegressorModel]

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

Parameters

A list of parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters

Parameter setters

Parameter getters

Members