Class

com.databricks.labs.automl.exploration.structures

FeatureImportanceConfig

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case class FeatureImportanceConfig(labelCol: String, featuresCol: String, dataPrepParallelism: Int, numericBoundaries: Map[String, (Double, Double)], stringBoundaries: Map[String, List[String]], scoringMetric: String, trainPortion: Double, trainSplitMethod: String, trainSplitChronologicalColumn: String, trainSplitChronlogicalRandomPercentage: Double, parallelism: Int, kFold: Int, seed: Long, scoringOptimizationStrategy: String, firstGenerationGenePool: Int, numberOfGenerations: Int, numberOfMutationsPerGeneration: Int, numberOfParentsToRetain: Int, geneticMixing: Double, generationalMutationStrategy: String, mutationMagnitudeMode: String, fixedMutationValue: Int, autoStoppingScore: Double, autoStoppingFlag: Boolean, evolutionStrategy: String, continuousEvolutionMaxIterations: Int, continuousEvolutionStoppingScore: Double, continuousEvolutionParallelism: Int, continuousEvolutionMutationAggressiveness: Int, continuousEvolutionGeneticMixing: Double, continuousEvolutionRollingImprovementCount: Int, dataReductionFactor: Double, firstGenMode: String, firstGenPermutations: Int, firstGenIndexMixingMode: String, firstGenArraySeed: Long, fieldsToIgnore: Array[String], numericFillStat: String, characterFillStat: String, modelSelectionDistinctThreshold: Int, dateTimeConversionType: String, modelType: String, featureImportanceModelFamily: String, featureInteractionFlag: Boolean, featureInteractionRetentionMode: String, featureInteractionContinuousDiscretizerBucketCount: Int, featureInteractionParallelism: Int, featureInteractionTargetInteractionPercentage: Double, deltaCacheBackingDirectory: String, deltaCacheBackingDirectoryRemovalFlag: Boolean, splitCachingStrategy: String) extends Product with Serializable

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Instance Constructors

  1. new FeatureImportanceConfig(labelCol: String, featuresCol: String, dataPrepParallelism: Int, numericBoundaries: Map[String, (Double, Double)], stringBoundaries: Map[String, List[String]], scoringMetric: String, trainPortion: Double, trainSplitMethod: String, trainSplitChronologicalColumn: String, trainSplitChronlogicalRandomPercentage: Double, parallelism: Int, kFold: Int, seed: Long, scoringOptimizationStrategy: String, firstGenerationGenePool: Int, numberOfGenerations: Int, numberOfMutationsPerGeneration: Int, numberOfParentsToRetain: Int, geneticMixing: Double, generationalMutationStrategy: String, mutationMagnitudeMode: String, fixedMutationValue: Int, autoStoppingScore: Double, autoStoppingFlag: Boolean, evolutionStrategy: String, continuousEvolutionMaxIterations: Int, continuousEvolutionStoppingScore: Double, continuousEvolutionParallelism: Int, continuousEvolutionMutationAggressiveness: Int, continuousEvolutionGeneticMixing: Double, continuousEvolutionRollingImprovementCount: Int, dataReductionFactor: Double, firstGenMode: String, firstGenPermutations: Int, firstGenIndexMixingMode: String, firstGenArraySeed: Long, fieldsToIgnore: Array[String], numericFillStat: String, characterFillStat: String, modelSelectionDistinctThreshold: Int, dateTimeConversionType: String, modelType: String, featureImportanceModelFamily: String, featureInteractionFlag: Boolean, featureInteractionRetentionMode: String, featureInteractionContinuousDiscretizerBucketCount: Int, featureInteractionParallelism: Int, featureInteractionTargetInteractionPercentage: Double, deltaCacheBackingDirectory: String, deltaCacheBackingDirectoryRemovalFlag: Boolean, splitCachingStrategy: String)

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Value Members

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

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  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. val autoStoppingFlag: Boolean

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  6. val autoStoppingScore: Double

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  7. val characterFillStat: String

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  8. def clone(): AnyRef

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  9. val continuousEvolutionGeneticMixing: Double

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  10. val continuousEvolutionMaxIterations: Int

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  11. val continuousEvolutionMutationAggressiveness: Int

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  12. val continuousEvolutionParallelism: Int

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  13. val continuousEvolutionRollingImprovementCount: Int

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  14. val continuousEvolutionStoppingScore: Double

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  15. val dataPrepParallelism: Int

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  16. val dataReductionFactor: Double

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  17. val dateTimeConversionType: String

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  18. val deltaCacheBackingDirectory: String

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  19. val deltaCacheBackingDirectoryRemovalFlag: Boolean

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

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  21. val evolutionStrategy: String

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  22. val featureImportanceModelFamily: String

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  23. val featureInteractionContinuousDiscretizerBucketCount: Int

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  24. val featureInteractionFlag: Boolean

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  25. val featureInteractionParallelism: Int

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  26. val featureInteractionRetentionMode: String

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  27. val featureInteractionTargetInteractionPercentage: Double

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  28. val featuresCol: String

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  29. val fieldsToIgnore: Array[String]

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  30. def finalize(): Unit

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  31. val firstGenArraySeed: Long

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  32. val firstGenIndexMixingMode: String

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  33. val firstGenMode: String

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  34. val firstGenPermutations: Int

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  35. val firstGenerationGenePool: Int

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  36. val fixedMutationValue: Int

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  37. val generationalMutationStrategy: String

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  38. val geneticMixing: Double

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

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  40. final def isInstanceOf[T0]: Boolean

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  41. val kFold: Int

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  42. val labelCol: String

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  43. val modelSelectionDistinctThreshold: Int

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  44. val modelType: String

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  45. val mutationMagnitudeMode: String

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

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  47. final def notify(): Unit

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  48. final def notifyAll(): Unit

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  49. val numberOfGenerations: Int

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  50. val numberOfMutationsPerGeneration: Int

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  51. val numberOfParentsToRetain: Int

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  52. val numericBoundaries: Map[String, (Double, Double)]

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  53. val numericFillStat: String

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  54. val parallelism: Int

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  55. val scoringMetric: String

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  56. val scoringOptimizationStrategy: String

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  57. val seed: Long

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  58. val splitCachingStrategy: String

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  59. val stringBoundaries: Map[String, List[String]]

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

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  61. val trainPortion: Double

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  62. val trainSplitChronlogicalRandomPercentage: Double

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  63. val trainSplitChronologicalColumn: String

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  64. val trainSplitMethod: String

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  65. final def wait(): Unit

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

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

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