AutomationTools

Value Members

1. final def !=(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. final def ==(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

4. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

5. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

6. def dataPersist(preDF: DataFrame, postDF: DataFrame, cacheLevel: StorageLevel, blockUnpersist: Boolean): (DataFrame, String)

   

7. final def eq(arg0: AnyRef): Boolean

   

   Definition Classes

   AnyRef

8. def equals(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

9. def extractGenerationData(payload: Array[GenericModelReturn]): Map[Int, (Double, Double)]

   

10. def extractGenerationalScores(payload: Array[GenericModelReturn], scoringOptimizationStrategy: String, modelFamily: String, modelType: String): Array[GenerationalReport]

    

11. def extractMLPCPayload(payload: MLPCConfig): Map[String, Any]

    

12. def extractPayload(cc: Product): Map[String, Any]

    

13. def fieldRemovalCompare(preFilterFields: Array[String], postFilterFields: Array[String]): List[String]

    

14. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

15. def generationDataFrameReport(generationalData: Array[GenerationalReport], sortingStrategy: String): DataFrame

    

16. final def getClass(): Class[_]

    

    Definition Classes

    AnyRef → Any

17. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

18. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

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

    

    Definition Classes

    AnyRef

20. final def notify(): Unit

    

    Definition Classes

    AnyRef

21. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

22. def prettyPrintConfig(config: AnyRef): String

    

    Provide a human-readable report into stdout and in the logs that show the configuration for a model run with the key -> value relationship shown as json

    Provide a human-readable report into stdout and in the logs that show the configuration for a model run with the key -> value relationship shown as json

    config

    AnyRef -> a defined case class

    returns

    String in the form of pretty print syntax

23. def printSchema(schema: Array[String], dataName: String): String

    

24. def printSchema(df: DataFrame, dataName: String): String

    

25. def recordInferenceDataConfig(config: MainConfig, startingFields: Array[String]): InferenceDataConfig

    

    Helper method for generating the Inference Config object for the data configuration steps needed to perform to reproduce the modeling for subsequent inference runs.

    Helper method for generating the Inference Config object for the data configuration steps needed to perform to reproduce the modeling for subsequent inference runs.

    config

    The full main Config that is utilized for the execution of the run.

    startingFields

    The fields that are are returned from type casting and validation (may contain artificial suffixes for StringIndexer (_si) and OneHotEncoder(_oh). These will be removed before recording.

    returns

    and Instance of InferenceDataConfig

    Since

    0.4.0

26. def recordInferenceSwitchSettings(config: MainConfig): InferenceSwitchSettings

    

    Single-pass method for recording all switch settings to the InferenceConfig Object.

    Single-pass method for recording all switch settings to the InferenceConfig Object.

    config

    MainConfig used for starting the training AutoML run

27. lazy val sc: SparkContext

    

    Definition Classes

    SparkSessionWrapper

28. lazy val spark: SparkSession

    

    Definition Classes

    SparkSessionWrapper

29. final def synchronized[T0](arg0: ⇒ T0): T0

    

    Definition Classes

    AnyRef

30. def toString(): String

    

    Definition Classes

    AnyRef → Any

31. def trainSplitValidation(trainSplitMethod: String, modelSelection: String): String

    

32. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

33. final def wait(arg0: Long, arg1: Int): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

34. final def wait(arg0: Long): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )