Class/Object

com.microsoft.ml.spark

TrainedRegressorModel

Related Docs: object TrainedRegressorModel | package spark

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class TrainedRegressorModel extends Model[TrainedRegressorModel] with ConstructorWritable[TrainedRegressorModel]

Model produced by TrainRegressor.

Linear Supertypes
ConstructorWritable[TrainedRegressorModel], MLWritable, Model[TrainedRegressorModel], Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. TrainedRegressorModel
  2. ConstructorWritable
  3. MLWritable
  4. Model
  5. Transformer
  6. PipelineStage
  7. Logging
  8. Params
  9. Serializable
  10. Serializable
  11. Identifiable
  12. AnyRef
  13. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new TrainedRegressorModel(uid: String, labelColumn: String, model: PipelineModel, featuresColumn: String)

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    uid

    The id of the module

    labelColumn

    The label column

    model

    The trained model

    featuresColumn

    The features column

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[_]): TrainedRegressorModel.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): TrainedRegressorModel

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    Definition Classes
    TrainedRegressorModel → 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. val featuresColumn: String

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    The features column

  18. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  19. final def get[T](param: Param[T]): Option[T]

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

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

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    Definition Classes
    Params
  22. final def getOrDefault[T](param: Param[T]): T

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

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    Definition Classes
    Params
  24. def getParamMap: ParamMap

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

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

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    Definition Classes
    Params
  27. def hasParent: Boolean

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    Definition Classes
    Model
  28. def hashCode(): Int

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

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

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

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

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

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    Definition Classes
    Params
  34. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  35. val labelColumn: String

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    The label column

  36. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  43. def logName: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  48. val model: PipelineModel

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    The trained model

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

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

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

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    Definition Classes
    AnyRef
  52. val objectsToSave: List[Any]

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

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    Definition Classes
    Params
  54. var parent: Estimator[TrainedRegressorModel]

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    Definition Classes
    Model
  55. def save(path: String): Unit

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Params
  61. def setParent(parent: Estimator[TrainedRegressorModel]): TrainedRegressorModel

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    Definition Classes
    Model
  62. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  63. def toString(): String

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

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

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  67. def transformSchema(schema: StructType): StructType

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

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

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  70. val uid: String

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    The id of the module

    The id of the module

    Definition Classes
    TrainedRegressorModelConstructorWritable → Identifiable
  71. final def wait(): Unit

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

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

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

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    Definition Classes
    ConstructorWritable → MLWritable

Inherited from MLWritable

Inherited from Model[TrainedRegressorModel]

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