TrainingOptions

googleapis.bigquery.TrainingOptions
See theTrainingOptions companion object
final case class TrainingOptions(numTrials: Option[Long], l2Regularization: Option[Double], holidayRegion: Option[TrainingOptionsHolidayRegion], vertexAiModelVersionAliases: Option[List[String]], timeSeriesDataColumn: Option[String], optimizer: Option[String], initialLearnRate: Option[Double], timeSeriesLengthFraction: Option[Double], nonSeasonalOrder: Option[ArimaOrder], batchSize: Option[Long], horizon: Option[Long], kmeansInitializationColumn: Option[String], enableGlobalExplain: Option[Boolean], dataSplitMethod: Option[TrainingOptionsDataSplitMethod], feedbackType: Option[TrainingOptionsFeedbackType], autoClassWeights: Option[Boolean], hparamTuningObjectives: Option[List[TrainingOptionsHparamTuningObjective]], maxTimeSeriesLength: Option[Long], dropout: Option[Double], minTreeChildWeight: Option[Long], standardizeFeatures: Option[Boolean], colsampleBylevel: Option[Double], integratedGradientsNumSteps: Option[Long], distanceType: Option[TrainingOptionsDistanceType], subsample: Option[Double], modelUri: Option[String], dartNormalizeType: Option[TrainingOptionsDartNormalizeType], instanceWeightColumn: Option[String], sampledShapleyNumPaths: Option[Long], warmStart: Option[Boolean], kmeansInitializationMethod: Option[TrainingOptionsKmeansInitializationMethod], numClusters: Option[Long], activationFn: Option[String], maxIterations: Option[Long], timeSeriesIdColumn: Option[String], budgetHours: Option[Double], userColumn: Option[String], timeSeriesIdColumns: Option[List[String]], maxParallelTrials: Option[Long], pcaExplainedVarianceRatio: Option[Double], itemColumn: Option[String], adjustStepChanges: Option[Boolean], fitIntercept: Option[Boolean], inputLabelColumns: Option[List[String]], boosterType: Option[TrainingOptionsBoosterType], modelRegistry: Option[TrainingOptionsModelRegistry], timeSeriesTimestampColumn: Option[String], colsampleBynode: Option[Double], walsAlpha: Option[Double], l1RegActivation: Option[Double], learnRateStrategy: Option[TrainingOptionsLearnRateStrategy], tfVersion: Option[String], minSplitLoss: Option[Double], learnRate: Option[Double], calculatePValues: Option[Boolean], holidayRegions: Option[List[TrainingOptionsHolidayRegion]], numPrincipalComponents: Option[Long], l1Regularization: Option[Double], numParallelTree: Option[Long], numFactors: Option[Long], colsampleBytree: Option[Double], treeMethod: Option[TrainingOptionsTreeMethod], scaleFeatures: Option[Boolean], earlyStop: Option[Boolean], xgboostVersion: Option[String], dataSplitEvalFraction: Option[Double], dataFrequency: Option[TrainingOptionsDataFrequency], approxGlobalFeatureContrib: Option[Boolean], trendSmoothingWindowSize: Option[Long], autoArimaMinOrder: Option[Long], includeDrift: Option[Boolean], minRelativeProgress: Option[Double], autoArima: Option[Boolean], dataSplitColumn: Option[String], hiddenUnits: Option[List[Long]], optimizationStrategy: Option[TrainingOptionsOptimizationStrategy], cleanSpikesAndDips: Option[Boolean], minTimeSeriesLength: Option[Long], decomposeTimeSeries: Option[Boolean], maxTreeDepth: Option[Long], lossType: Option[TrainingOptionsLossType], labelClassWeights: Option[Map[String, Double]], pcaSolver: Option[TrainingOptionsPcaSolver], categoryEncodingMethod: Option[TrainingOptionsCategoryEncodingMethod], autoArimaMaxOrder: Option[Long], colorSpace: Option[TrainingOptionsColorSpace])

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Companion
object
Source
TrainingOptions.scala
Graph
Supertypes
trait Serializable
trait Product
trait Equals
class Object
trait Matchable
class Any
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def productElementNames: Iterator[String]

Attributes

Inherited from:
Product
def productIterator: Iterator[Any]

Attributes

Inherited from:
Product