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com.databricks.labs.automl.inference

InferenceConfig

Related Doc: package inference

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object InferenceConfig extends InferenceDefaults

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InferenceDefaults, Defaults, AnyRef, Any
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  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 val _allowableEvolutionStrategies: List[String]

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  5. final val _allowableInitialGenerationIndexMixingModes: List[String]

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  6. final val _allowableInitialGenerationModes: List[String]

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  7. final val _allowableMlFlowLoggingModes: List[String]

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  8. final val _allowableNAFillModes: List[String]

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  9. def _covarianceConfigDefaults: CovarianceConfig

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  10. def _dataPrepConfigDefaults: DataPrepConfig

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  11. def _defaultAutoStoppingFlag: Boolean

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  12. def _defaultAutoStoppingScore: Double

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  13. def _defaultCovarianceFilterFlag: Boolean

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  14. def _defaultCovarianceFilteringConfig: CovarianceFilteringConfig

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  15. def _defaultDataPrepCachingFlag: Boolean

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  16. def _defaultDataPrepParallelism: Int

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  17. def _defaultDataReductionFactor: Double

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  18. def _defaultDateTimeConversionType: String

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  19. def _defaultFeatureEngineeringConfig: FeatureEngineeringConfig

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  20. def _defaultFeatureImportanceCutoffType: String

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  21. def _defaultFeatureImportanceCutoffValue: Double

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  22. def _defaultFeatureInteractionConfig: params.FeatureInteractionConfig

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  23. def _defaultFeatureInteractionFlag: Boolean

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  24. def _defaultFeaturesCol: String

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  25. def _defaultFieldsToIgnoreInVector: Array[String]

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  26. def _defaultFirstGenerationConfig: FirstGenerationConfig

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  27. def _defaultHyperSpaceInference: Boolean

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  28. def _defaultHyperSpaceInferenceCount: Int

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  29. def _defaultHyperSpaceModelCount: Int

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  30. def _defaultHyperSpaceModelType: String

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  31. def _defaultInferenceConfig: InferenceMainConfig

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  32. def _defaultInferenceDataConfig: InferenceDataConfig

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  33. def _defaultInferenceFeatureInteractionConfig: FeatureInteractionConfig

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  34. def _defaultInferenceModelConfig: InferenceModelConfig

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  35. def _defaultInferenceSwitchSettings: InferenceSwitchSettings

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  36. def _defaultInitialGenerationMode: String

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  37. def _defaultKSampleConfig: KSampleConfig

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  38. def _defaultLabelCol: String

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  39. def _defaultMlFlowArtifactsFlag: Boolean

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  40. def _defaultMlFlowLoggingFlag: Boolean

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  41. def _defaultModelingFamily: String

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  42. def _defaultNAFillFlag: Boolean

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  43. def _defaultNaFillConfig: NaFillConfig

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  44. def _defaultOneHotEncodeFlag: Boolean

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  45. def _defaultOutlierFilterFlag: Boolean

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  46. def _defaultOutlierFilteringConfig: OutlierFilteringConfig

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  47. def _defaultPearsonFilterFlag: Boolean

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  48. def _defaultPearsonFilteringConfig: PearsonFilteringConfig

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  49. def _defaultPipelineDebugFlag: Boolean

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  50. def _defaultPipelineId: String

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  51. def _defaultScalingFlag: Boolean

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  52. def _defaultVarianceFilterConfig: VarianceFilterConfig

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  53. def _defaultVarianceFilterFlag: Boolean

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  54. var _featureEngineeringConfig: FeatureEngineeringConfig

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  55. def _featureImportancesDefaults: MainConfig

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  56. def _fillConfigDefaults: FillConfig

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  57. def _gbtDefaultNumBoundaries: Map[String, (Double, Double)]

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  58. def _gbtDefaultStringBoundaries: Map[String, List[String]]

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  59. def _geneticTunerDefaults: GeneticConfig

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  60. var _inferenceConfig: InferenceMainConfig

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  61. var _inferenceConfigMlFlowAPIToken: String

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  62. var _inferenceConfigMlFlowConfig: MLFlowConfig

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  63. var _inferenceConfigMlFlowExperimentName: String

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  64. var _inferenceConfigMlFlowModelSaveDirectory: String

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  65. var _inferenceConfigMlFlowRunId: String

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  66. var _inferenceConfigMlFlowTrackingURI: String

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  67. var _inferenceConfigModelFamily: String

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  68. var _inferenceConfigModelLoadMethod: String

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  69. var _inferenceConfigModelPathLocation: String

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  70. var _inferenceConfigModelType: String

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  71. def _inferenceConfigSaveLocationDefault: String

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  72. var _inferenceConfigStorageLocation: String

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  73. var _inferenceCovarianceFilteringConfig: CovarianceFilteringConfig

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  74. var _inferenceDataConfig: InferenceDataConfig

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  75. var _inferenceDataConfigDateTimeConversionType: String

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  76. var _inferenceDataConfigFeaturesCol: String

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  77. var _inferenceDataConfigFieldsToIgnore: Array[String]

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  78. var _inferenceDataConfigLabelCol: String

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  79. var _inferenceDataConfigStartingColumns: Array[String]

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  80. var _inferenceFeatureInteractionConfig: FeatureInteractionConfig

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  81. var _inferenceModelConfig: InferenceModelConfig

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  82. var _inferenceNaFillConfig: NaFillConfig

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  83. var _inferenceOutlierFilteringConfig: OutlierFilteringConfig

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  84. var _inferencePearsonFilteringConfig: PearsonFilteringConfig

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  85. var _inferenceScalerMax: Double

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  86. var _inferenceScalerMin: Double

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  87. var _inferenceScalerPNorm: Double

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  88. var _inferenceScalerType: String

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  89. var _inferenceScalingConfig: ScalingConfig

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  90. var _inferenceStandardScalerMeanFlag: Boolean

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  91. var _inferenceStandardScalerStdDevFlag: Boolean

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  92. var _inferenceSwitchSettings: InferenceSwitchSettings

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  93. var _inferenceVarianceFilterConfig: VarianceFilterConfig

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  94. def _lightGBMDefaultNumBoundaries: Map[String, (Double, Double)]

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  95. def _lightGBMDefaultStringBoundaries: Map[String, List[String]]

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  96. def _linearRegressionDefaultNumBoundaries: Map[String, (Double, Double)]

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  97. def _linearRegressionDefaultStringBoundaries: Map[String, List[String]]

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  98. def _logisticRegressionDefaultNumBoundaries: Map[String, (Double, Double)]

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  99. def _logisticRegressionDefaultStringBoundaries: Map[String, List[String]]

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  100. def _mainConfigDefaults: MainConfig

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  101. def _mlFlowConfigDefaults: MLFlowConfig

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  102. def _mlpcDefaultNumBoundaries: Map[String, (Double, Double)]

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  103. def _mlpcDefaultStringBoundaries: Map[String, List[String]]

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  104. def _modelTypeDefault: String

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  105. def _naiveBayesDefaultNumBoundaries: Map[String, (Double, Double)]

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  106. def _naiveBayesDefaultStringBoundaries: Map[String, List[String]]

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  107. def _outlierConfigDefaults: OutlierConfig

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  108. def _pearsonConfigDefaults: PearsonConfig

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  109. def _rfDefaultNumBoundaries: Map[String, (Double, Double)]

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  110. def _rfDefaultStringBoundaries: Map[String, List[String]]

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  111. def _scalingConfigDefaults: ScalingConfig

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  112. def _scoringDefaultClassifier: String

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  113. def _scoringDefaultRegressor: String

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  114. def _scoringOptimizationStrategyClassifier: String

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  115. def _scoringOptimizationStrategyRegressor: String

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  116. final val _supportedFeatureImportanceCutoffTypes: List[String]

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  117. final val _supportedModels: Array[String]

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  118. def _svmDefaultNumBoundaries: Map[String, (Double, Double)]

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  119. def _svmDefaultStringBoundaries: Map[String, List[String]]

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  120. def _treeSplitDefaults: MainConfig

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  121. def _treesDefaultNumBoundaries: Map[String, (Double, Double)]

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  122. def _treesDefaultStringBoundaries: Map[String, List[String]]

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  123. def _xgboostDefaultNumBoundaries: Map[String, (Double, Double)]

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  124. final val allowableCardinalilties: List[String]

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  125. final val allowableCategoricalFilterModes: List[String]

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  126. final val allowableDateTimeConversions: List[String]

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  127. final val allowableFeatureInteractionModes: List[String]

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  128. final val allowableKMeansDistanceMeasurements: List[String]

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  129. final val allowableLabelBalanceModes: List[String]

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  130. final val allowableMBORegressorTypes: List[String]

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  131. final val allowableModelLoads: Array[String]

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  132. final val allowableMutationModes: List[String]

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  133. final val allowableOutlierFilteringDirections: Array[String]

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  134. final val allowableVectorMutationMethods: List[String]

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  135. final def asInstanceOf[T0]: T0

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  136. def clone(): AnyRef

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

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  138. def equals(arg0: Any): Boolean

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  139. def finalize(): Unit

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

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  141. def getInferenceConfig: InferenceMainConfig

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  142. def getInferenceConfigStorageLocation: String

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  143. def getInferenceCovarianceFilteringConfig: CovarianceFilteringConfig

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  144. def getInferenceDataConfig: InferenceDataConfig

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  145. def getInferenceDataConfigDateTimeConversionType: String

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  146. def getInferenceDataConfigFeaturesCol: String

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  147. def getInferenceDataConfigFieldsToIgnore: Array[String]

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  148. def getInferenceDataConfigLabelCol: String

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  149. def getInferenceDataConfigStartingColumns: Array[String]

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  150. def getInferenceFeatureEngineeringConfig: FeatureEngineeringConfig

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  151. def getInferenceFeatureInteractionConfig: FeatureInteractionConfig

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  152. def getInferenceModelConfig: InferenceModelConfig

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  153. def getInferenceModelConfigMlFlowExperimentName: String

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  154. def getInferenceModelConfigMlFlowModelSaveDirectory: String

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  155. def getInferenceModelConfigMlFlowRunID: String

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  156. def getInferenceModelConfigMlFlowTrackingURI: String

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  157. def getInferenceModelConfigModelFamily: String

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  158. def getInferenceModelConfigModelLoadMethod: String

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  159. def getInferenceModelConfigModelPathLocation: String

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  160. def getInferenceModelConfigModelType: String

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  161. def getInferenceNaFillConfig: NaFillConfig

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  162. def getInferenceOutlierFilteringConfig: OutlierFilteringConfig

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  163. def getInferencePearsonFilteringConfig: PearsonFilteringConfig

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  164. def getInferenceScalerMax: Double

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  165. def getInferenceScalerMin: Double

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  166. def getInferenceScalerPNorm: Double

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  167. def getInferenceScalerType: String

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  168. def getInferenceScalingConfig: ScalingConfig

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  169. def getInferenceStandardScalerMeanFlag: Boolean

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  170. def getInferenceStandardScalerStdDevFlag: Boolean

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  171. def getInferenceSwitchSettings: InferenceSwitchSettings

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  172. def getInferenceVarianceFilterConfig: VarianceFilterConfig

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  173. def hashCode(): Int

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  174. final def isInstanceOf[T0]: Boolean

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

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  176. final def notify(): Unit

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  177. final def notifyAll(): Unit

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  178. def setFeatureInteractionConfig(value: FeatureInteractionConfig): InferenceConfig.this.type

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  179. def setInferenceConfig(): InferenceConfig.this.type

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  180. def setInferenceConfig(value: InferenceMainConfig): InferenceConfig.this.type

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  181. def setInferenceConfigMlFlowAPIToken(value: String): InferenceConfig.this.type

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  182. def setInferenceConfigMlFlowExperimentName(value: String): InferenceConfig.this.type

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  183. def setInferenceConfigMlFlowModelSaveDirectory(value: String): InferenceConfig.this.type

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  184. def setInferenceConfigMlFlowTrackingURI(value: String): InferenceConfig.this.type

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  185. def setInferenceConfigStorageLocation(value: String): InferenceConfig.this.type

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  186. def setInferenceCovarianceFilteringConfig(value: Array[String]): InferenceConfig.this.type

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  187. def setInferenceDataConfig(value: InferenceDataConfig): InferenceConfig.this.type

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  188. def setInferenceDataConfigDateTimeConversionType(value: String): InferenceConfig.this.type

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  189. def setInferenceDataConfigFeaturesCol(value: String): InferenceConfig.this.type

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  190. def setInferenceDataConfigFieldsToIgnore(value: Array[String]): InferenceConfig.this.type

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  191. def setInferenceDataConfigLabelCol(value: String): InferenceConfig.this.type

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  192. def setInferenceDataConfigStartingColumns(value: Array[String]): InferenceConfig.this.type

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  193. def setInferenceFeatureEngineeringConfig(value: FeatureEngineeringConfig): InferenceConfig.this.type

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  194. def setInferenceModelConfig(value: InferenceModelConfig): InferenceConfig.this.type

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  195. def setInferenceModelConfigMlFlowConfig(value: MLFlowConfig): InferenceConfig.this.type

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  196. def setInferenceModelConfigMlFlowRunID(value: String): InferenceConfig.this.type

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  197. def setInferenceModelConfigModelFamily(value: String): InferenceConfig.this.type

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  198. def setInferenceModelConfigModelLoadMethod(value: String): InferenceConfig.this.type

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  199. def setInferenceModelConfigModelPathLocation(value: String): InferenceConfig.this.type

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  200. def setInferenceModelConfigModelType(value: String): InferenceConfig.this.type

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  201. def setInferenceNaFillConfig(categoricalMap: Map[String, String], numericMap: Map[String, Double], booleanMap: Map[String, Boolean]): InferenceConfig.this.type

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  202. def setInferenceOutlierFilteringConfig(value: Map[String, (Double, String)]): InferenceConfig.this.type

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  203. def setInferencePearsonFilteringConfig(value: Array[String]): InferenceConfig.this.type

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  204. def setInferenceScalerMax(value: Double): InferenceConfig.this.type

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  205. def setInferenceScalerMin(value: Double): InferenceConfig.this.type

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  206. def setInferenceScalerPNorm(value: Double): InferenceConfig.this.type

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  207. def setInferenceScalerType(value: String): InferenceConfig.this.type

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  208. def setInferenceScalingConfig(value: ScalingConfig): InferenceConfig.this.type

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  209. def setInferenceStandardScalerMeanFlagOff(): InferenceConfig.this.type

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  210. def setInferenceStandardScalerMeanFlagOn(): InferenceConfig.this.type

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  211. def setInferenceStandardScalerStdDevFlagOff(): InferenceConfig.this.type

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  212. def setInferenceStandardScalerStdDevFlagOn(): InferenceConfig.this.type

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  213. def setInferenceSwitchSettings(value: InferenceSwitchSettings): InferenceConfig.this.type

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  214. def setInferenceVarianceFilterConfig(value: Array[String]): InferenceConfig.this.type

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

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  216. def toString(): String

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  217. final val trainSplitMethods: List[String]

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  218. final def wait(): Unit

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

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

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