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
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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 clear(param: Param[_]): AutoTrainedModel.this.type
    Definition Classes
    Params
  2. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  3. def explainParams(): String
    Definition Classes
    Params
  4. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  5. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  6. val featuresCol: Param[String]

    The name of the features column

    The name of the features column

    Definition Classes
    HasFeaturesCol
  7. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  8. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  9. def getFeaturesCol: String

    Definition Classes
    HasFeaturesCol
  10. def getLabelCol: String

    Definition Classes
    HasLabelCol
  11. def getLastStage: Transformer

    Retrieve the underlying model.

    Retrieve the underlying model.

    returns

    The underlying model.

  12. def getModel: PipelineModel
  13. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  14. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  15. 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.

  16. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  17. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  18. def hasParent: Boolean
    Definition Classes
    Model
  19. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  20. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  21. val labelCol: Param[String]

    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  22. val model: TransformerParam
  23. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  24. var parent: Estimator[TrainedModel]
    Definition Classes
    Model
  25. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  26. final def set[T](param: Param[T], value: T): AutoTrainedModel.this.type
    Definition Classes
    Params
  27. def setFeaturesCol(value: String): AutoTrainedModel.this.type

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

    Definition Classes
    HasLabelCol
  29. def setModel(v: PipelineModel): AutoTrainedModel.this.type
  30. def setParent(parent: Estimator[TrainedModel]): TrainedModel
    Definition Classes
    Model
  31. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  32. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  33. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  34. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable