Class/Object

com.microsoft.ml.spark.train

TrainedRegressorModel

Related Docs: object TrainedRegressorModel | package train

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class TrainedRegressorModel extends AutoTrainedModel[TrainedRegressorModel]

Model produced by TrainRegressor.

Annotations
@InternalWrapper()
Linear Supertypes
AutoTrainedModel[TrainedRegressorModel], ConstructorWritable[TrainedRegressorModel], MLWritable, Model[TrainedRegressorModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Ordering
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  2. By Inheritance
Inherited
  1. TrainedRegressorModel
  2. AutoTrainedModel
  3. ConstructorWritable
  4. MLWritable
  5. Model
  6. Transformer
  7. PipelineStage
  8. Logging
  9. Params
  10. Serializable
  11. Serializable
  12. Identifiable
  13. AnyRef
  14. 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. def getModel: Transformer

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    Retrieve the underlying model.

    Retrieve the underlying model.

    returns

    The underlying model.

    Definition Classes
    AutoTrainedModel
  23. final def getOrDefault[T](param: Param[T]): T

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

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    Definition Classes
    Params
  25. def getParamMap: ParamMap

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    Retrieve the param map from the underlying model.

    Retrieve the param map from the underlying model.

    returns

    The param map from the underlying model.

    Definition Classes
    AutoTrainedModel
  26. final def hasDefault[T](param: Param[T]): Boolean

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

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    Definition Classes
    Params
  28. def hasParent: Boolean

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    Definition Classes
    Model
  29. def hashCode(): Int

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

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

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

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

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

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    Definition Classes
    Params
  35. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  36. val labelColumn: String

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    The label column

  37. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  44. def logName: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  49. val model: PipelineModel

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    The trained model

    The trained model

    Definition Classes
    TrainedRegressorModelAutoTrainedModel
  50. final def ne(arg0: AnyRef): Boolean

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

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

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

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

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

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

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

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

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

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

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

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

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

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    Definition Classes
    AnyRef
  64. def toString(): String

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

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

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

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

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

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

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  71. val uid: String

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    The id of the module

    The id of the module

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

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  75. 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 Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped