Class/Object

com.databricks.labs.automl.model.tools

GenerationOptimizer

Related Docs: object GenerationOptimizer | package tools

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class GenerationOptimizer[A, B] extends GenerationOptimizerBase

Linear Supertypes
GenerationOptimizerBase, SparkSessionWrapper, Serializable, Serializable, AnyRef, Any
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Inherited
  1. GenerationOptimizer
  2. GenerationOptimizerBase
  3. SparkSessionWrapper
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Visibility
  1. Public
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Instance Constructors

  1. new GenerationOptimizer(modelType: String, regressorType: String, history: ArrayBuffer[A], candidates: Array[B], optimizationType: String, candidateCount: Int)

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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 ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. final val LABEL_COLUMN: String

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  5. final val PREDICTION_COLUMN: String

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  6. final val SCALED_FEATURE_COLUMN: String

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  7. final val SI_SUFFIX: String

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  8. final val UNSCALED_FEATURE_COLUMN: String

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  9. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  10. val candidateCount: Int

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  11. var candidates: Array[B]

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  12. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  13. def convertCandidatesToDF[B](modelType: ModelTypes, candidates: Array[B]): DataFrame

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    Definition Classes
    GenerationOptimizerBase

  14. def convertConfigToDF[A](modelType: ModelTypes, config: Array[A])(implicit c: ClassTag[A]): DataFrame

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    Definition Classes
    GenerationOptimizerBase

  15. def enumerateModelType(value: String): ModelTypes

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    Definition Classes
    GenerationOptimizerBase

  16. def enumerateOptimizationType(value: String): OptimizationTypes

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    Definition Classes
    GenerationOptimizerBase

  17. def enumerateRegressorType(value: String): RegressorTypes

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    Definition Classes
    GenerationOptimizerBase

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

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    Definition Classes
    AnyRef

  19. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  20. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  21. def fit(df: Dataset[_], pipeline: Pipeline): PipelineModel

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    Definition Classes
    GenerationOptimizerBase

  22. def generateDecisionTreesCandidates()(implicit c: ClassTag[A]): Array[TreesConfig]

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  23. def generateGBTCandidates()(implicit c: ClassTag[A]): Array[GBTConfig]

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  24. def generateLightGBMCandidates()(implicit c: ClassTag[A]): Array[LightGBMConfig]

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  25. def generateLinearRegressionCandidates()(implicit c: ClassTag[A]): Array[LinearRegressionConfig]

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  26. def generateLogisticRegressionCandidates()(implicit c: ClassTag[A]): Array[LogisticRegressionConfig]

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  27. def generateMLPCCandidates(inputFeatures: Int, distinctClasses: Int)(implicit c: ClassTag[A]): Array[MLPCConfig]

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  28. def generateRandomForestCandidates()(implicit c: ClassTag[A]): Array[RandomForestConfig]

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  29. def generateSVMCandidates()(implicit c: ClassTag[A]): Array[SVMConfig]

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  30. def generateXGBoostCandidates()(implicit c: ClassTag[A]): Array[XGBoostConfig]

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

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    Definition Classes
    AnyRef → Any

  32. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  33. var history: ArrayBuffer[A]

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  34. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  35. def mlpcLayerGenerator(inputFeatures: Int, distinctClasses: Int, layers: Int, hiddenLayers: Int): Array[Int]

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    Definition Classes
    GenerationOptimizerBase

  36. val modelType: String

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

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    Definition Classes
    AnyRef

  38. final def notify(): Unit

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    Definition Classes
    AnyRef

  39. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  40. val optimizationType: String

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  41. val regressorType: String

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  42. lazy val sc: SparkContext

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    Definition Classes
    SparkSessionWrapper

  43. lazy val spark: SparkSession

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    Definition Classes
    SparkSessionWrapper

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

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    Definition Classes
    AnyRef

  45. def toString(): String

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    Definition Classes
    AnyRef → Any

  46. def transform(df: Dataset[_], pipeline: PipelineModel): DataFrame

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    Definition Classes
    GenerationOptimizerBase

  47. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from GenerationOptimizerBase

Inherited from SparkSessionWrapper

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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