class FrozenModel extends Model
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Instance Constructors
- new FrozenModel(featurelistId: String, processes: Array[String], featurelistName: String, projectId: String, samplePct: Option[Double], trainingDuration: Option[String], trainingRowCount: Option[Int], trainingStartDate: Option[String], trainingEndDate: Option[String], modelCategory: String, isFrozen: Boolean = true, metrics: Map[String, Metric], modelType: String, blueprintId: String, monotonicIncreasingFeaturelistId: Option[String] = None, monotonicDecreasingFeaturelistId: Option[String] = None, supportsMonotonicConstraints: Option[Boolean] = None, id: String, isStarred: Boolean = false, predictionThreshold: Option[Double], predictionThresholdReadOnly: Option[Boolean])
Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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def
advancedTuning(description: String)(implicit client: DataRobotClient): AdvancedTuningSession
- Definition Classes
- Model
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final
def
asInstanceOf[T0]: T0
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val
blueprintId: String
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def
clone(): AnyRef
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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val
featurelistId: String
- Definition Classes
- Model
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val
featurelistName: String
- Definition Classes
- Model
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def
getCapabilities()(implicit client: DataRobotClient): (Map[String, Boolean], Map[String, String])
- Definition Classes
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final
def
getClass(): Class[_]
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- @native() @HotSpotIntrinsicCandidate()
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def
getCrossValidationScores()(implicit client: DataRobotClient): Map[String, Map[String, Map[String, Double]]]
- Definition Classes
- Model
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def
getFeatureEffects(source: String = "validation", backtestIndex: Option[String] = None)(implicit client: DataRobotClient): FeatureEffects
- Definition Classes
- Model
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def
getFeatureEffectsMetaData()(implicit client: DataRobotClient): String
- Definition Classes
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def
getFeatureFit(source: String = "validation", backtestIndex: Option[String] = None)(implicit client: DataRobotClient): FeatureFits
- Definition Classes
- Model
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def
getFeatureFitMetaData()(implicit client: DataRobotClient): String
- Definition Classes
- Model
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def
getFeatureImpact()(implicit client: DataRobotClient): FeatureImpacts
- Definition Classes
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def
getHyperParameters()(implicit client: DataRobotClient): Map[String, List[Map[String, Any]]]
- Definition Classes
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def
getLiftChart(source: enums.Source.Value)(implicit client: DataRobotClient): LiftChart
- Definition Classes
- Model
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def
getLiftCharts()(implicit client: DataRobotClient): Map[String, List[LiftChart]]
- Definition Classes
- Model
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def
getMissingValueReport()(implicit client: DataRobotClient): List[Map[_ <: String, Any]]
- Definition Classes
- Model
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def
getModelBlueprintChart()(implicit client: DataRobotClient): Graph[BlueprintNode, LDiEdge]
- Definition Classes
- Model
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def
getModelCoefficients()(implicit client: DataRobotClient): ModelCoefficients
- Definition Classes
- Model
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def
getResiduals()(implicit client: DataRobotClient): Map[String, Map[String, ResidualData]]
- Definition Classes
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def
getRocCurve(source: enums.Source.Value)(implicit client: DataRobotClient): RocCurve
- Definition Classes
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def
getRocCurves()(implicit client: DataRobotClient): Map[String, List[RocCurve]]
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def
getScoringCode(destination: Option[String] = None, sourceCode: Boolean = false)(implicit client: DataRobotClient): Unit
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def
getWordCloud()(implicit client: DataRobotClient): WordCloud
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def
hashCode(): Int
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val
id: String
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val
isFrozen: Boolean
- Definition Classes
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final
def
isInstanceOf[T0]: Boolean
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var
isStarred: Boolean
- Definition Classes
- Model
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val
metrics: Map[String, Metric]
- Definition Classes
- Model
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val
modelCategory: String
- Definition Classes
- Model
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val
modelType: String
- Definition Classes
- Model
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val
monotonicDecreasingFeaturelistId: Option[String]
- Definition Classes
- Model
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val
monotonicIncreasingFeaturelistId: Option[String]
- Definition Classes
- Model
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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var
predictionThreshold: Option[Double]
- Definition Classes
- Model
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var
predictionThresholdReadOnly: Option[Boolean]
- Definition Classes
- Model
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val
processes: Array[String]
- Definition Classes
- Model
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val
projectId: String
- Definition Classes
- Model
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def
requestAndGetFeatureEffects(source: String = "validation", backtestIndex: Option[String] = None)(implicit client: DataRobotClient): FeatureEffects
- Definition Classes
- Model
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def
requestAndGetFeatureFit(source: String = "validation", backtestIndex: Option[String] = None)(implicit client: DataRobotClient): FeatureFits
- Definition Classes
- Model
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def
requestAndGetFeatureImpact(maxWait: Int = 600000)(implicit client: DataRobotClient): AnyRef
- Definition Classes
- Model
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def
requestFeatureEffects(backtestIndex: Option[String] = None)(implicit client: DataRobotClient): Job
- Definition Classes
- Model
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def
requestFeatureFit(backtestIndex: Option[String] = None)(implicit client: DataRobotClient): Job
- Definition Classes
- Model
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def
requestFeatureImpact()(implicit client: DataRobotClient): Job
- Definition Classes
- Model
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def
requestFrozenModel(samplePct: Option[Float] = None, trainingRowCount: Option[Int] = None)(implicit client: DataRobotClient): ModelJob
- Definition Classes
- Model
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def
requestPredictions(datasetId: String, includePredictionIntervals: Option[Boolean] = None, predictionIntervalSize: Option[Int] = None, forecastPoint: Option[String] = None, predictionsStartDate: Option[String] = None, predictionsEndDate: Option[String] = None)(implicit client: DataRobotClient): PredictJob
- Definition Classes
- Model
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def
runCrossValidation()(implicit client: DataRobotClient): Job
- Definition Classes
- Model
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val
samplePct: Option[Double]
- Definition Classes
- Model
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def
starModel()(implicit client: DataRobotClient): Model
- Definition Classes
- Model
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val
supportsMonotonicConstraints: Option[Boolean]
- Definition Classes
- Model
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
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def
toString(): String
- Definition Classes
- FrozenModel → Model → AnyRef → Any
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def
toggleStar(starred: Boolean)(implicit client: DataRobotClient): Model
- Definition Classes
- Model
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val
trainingDuration: Option[String]
- Definition Classes
- Model
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val
trainingEndDate: Option[String]
- Definition Classes
- Model
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val
trainingRowCount: Option[Int]
- Definition Classes
- Model
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val
trainingStartDate: Option[String]
- Definition Classes
- Model
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def
unstarModel()(implicit client: DataRobotClient): Model
- Definition Classes
- Model
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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final
def
wait(): Unit
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Deprecated Value Members
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def
finalize(): Unit
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