Packages

c

com.microsoft.azure.synapse.ml.train

AutoTrainedModel

abstract class AutoTrainedModel[TrainedModel <: Model[TrainedModel]] extends Model[TrainedModel] with ComplexParamsWritable with HasLabelCol with HasFeaturesCol

Defines common inheritance and functions across auto trained models.

Linear Supertypes
HasFeaturesCol, HasLabelCol, ComplexParamsWritable, MLWritable, Model[TrainedModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
TrainedClassifierModel, TrainedRegressorModel
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. AutoTrainedModel
  2. HasFeaturesCol
  3. HasLabelCol
  4. ComplexParamsWritable
  5. MLWritable
  6. Model
  7. Transformer
  8. PipelineStage
  9. Logging
  10. Params
  11. Serializable
  12. Serializable
  13. Identifiable
  14. AnyRef
  15. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new AutoTrainedModel()

Abstract Value Members

  1. abstract def copy(extra: ParamMap): TrainedModel
    Definition Classes
    Model → Transformer → PipelineStage → Params
  2. abstract def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  3. abstract def transformSchema(schema: StructType): StructType
    Definition Classes
    PipelineStage
  4. abstract val uid: String
    Definition Classes
    Identifiable

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. final def clear(param: Param[_]): AutoTrainedModel.this.type
    Definition Classes
    Params
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  8. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  9. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  12. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  13. def explainParams(): String
    Definition Classes
    Params
  14. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  15. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  16. val featuresCol: Param[String]

    The name of the features column

    The name of the features column

    Definition Classes
    HasFeaturesCol
  17. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  18. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  19. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  20. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  21. def getFeaturesCol: String

    Definition Classes
    HasFeaturesCol
  22. def getLabelCol: String

    Definition Classes
    HasLabelCol
  23. def getLastStage: Transformer

    Retrieve the underlying model.

    Retrieve the underlying model.

    returns

    The underlying model.

  24. def getModel: PipelineModel
  25. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  26. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  27. def getParamMap: ParamMap

    Retrieve the param map from the underlying model.

    Retrieve the param map from the underlying model.

    returns

    The param map from the underlying model.

  28. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  29. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  30. def hasParent: Boolean
    Definition Classes
    Model
  31. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  32. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  33. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  34. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  35. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  36. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  37. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  38. val labelCol: Param[String]

    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  39. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  40. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  41. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  42. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  43. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  44. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  45. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  46. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  47. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  48. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  49. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  50. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  51. val model: TransformerParam
  52. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  53. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  54. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  55. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  56. var parent: Estimator[TrainedModel]
    Definition Classes
    Model
  57. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  58. final def set(paramPair: ParamPair[_]): AutoTrainedModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  59. final def set(param: String, value: Any): AutoTrainedModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  60. final def set[T](param: Param[T], value: T): AutoTrainedModel.this.type
    Definition Classes
    Params
  61. final def setDefault(paramPairs: ParamPair[_]*): AutoTrainedModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  62. final def setDefault[T](param: Param[T], value: T): AutoTrainedModel.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  63. def setFeaturesCol(value: String): AutoTrainedModel.this.type

    Definition Classes
    HasFeaturesCol
  64. def setLabelCol(value: String): AutoTrainedModel.this.type

    Definition Classes
    HasLabelCol
  65. def setModel(v: PipelineModel): AutoTrainedModel.this.type
  66. def setParent(parent: Estimator[TrainedModel]): TrainedModel
    Definition Classes
    Model
  67. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  68. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  69. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  70. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  71. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  72. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  73. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  74. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  75. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from Model[TrainedModel]

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

getParam

param

setParam

Ungrouped