Trait

ai.h2o.sparkling.ml.models

H2OMOJOModelUtils

Related Doc: package models

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trait H2OMOJOModelUtils extends Logging

Linear Supertypes
Logging, Serializable, Serializable, Logging, AnyRef, Any
Known Subclasses
H2OAlgorithmMOJOModel, H2OAnomalyMetrics, H2OAutoEncoderMOJOBase, H2OAutoEncoderMOJOModel, H2OAutoEncoderMetrics, H2OBinomialGLMMetrics, H2OBinomialMetrics, H2OClusteringMetrics, H2OCommonMetrics, H2OCoxPHMOJOModel, H2ODRFMOJOModel, H2ODeepLearningMOJOModel, H2ODimReductionMOJOModel, H2OFeatureMOJOModel, H2OGAMMOJOModel, H2OGBMMOJOModel, H2OGLMMOJOModel, H2OGLMMetrics, H2OGLRMMOJOBase, H2OGLRMMOJOModel, H2OGLRMMetrics, H2OIsolationForestMOJOModel, H2OKMeansMOJOModel, H2OMOJOModel, H2OMOJOModel, H2OMetrics, H2OMultinomialGLMMetrics, H2OMultinomialMetrics, H2OOrdinalGLMMetrics, H2OOrdinalMetrics, H2OPCAMOJOModel, H2OPCAMetrics, H2ORegressionCoxPHMetrics, H2ORegressionGLMMetrics, H2ORegressionMetrics, H2ORuleFitMOJOModel, H2OSupervisedMOJOModel, H2OTreeBasedSupervisedMOJOModel, H2OTreeBasedUnsupervisedMOJOModel, H2OUnsupervisedMOJOModel, H2OWord2VecMOJOBase, H2OWord2VecMOJOModel, H2OXGBoostMOJOModel
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  1. H2OMOJOModelUtils
  2. Logging
  3. Serializable
  4. Serializable
  5. Logging
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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 def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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  8. def extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame

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  9. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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  10. def extractFeatureTypes(outputJson: JsonObject): Map[String, String]

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  11. def extractJsonFieldValue[T](outputJson: JsonObject, fieldName: String, getValue: (JsonElement) ⇒ T, defaultValue: T): T

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  12. def extractJsonTables(outputJson: JsonObject, fieldName: String): Array[DataFrame]

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  13. def extractMetrics(json: JsonObject, metricType: String): Map[String, Double]

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  14. def extractMetricsObject(json: JsonObject, metricType: String, algoName: String, modelCategory: internals.H2OModelCategory.Value, dataFrameSerializerGetter: () ⇒ String): H2OMetrics

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  15. def extractModelCategory(outputJson: JsonObject): internals.H2OModelCategory.Value

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  16. def extractModelSummary(outputJson: JsonObject): DataFrame

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    protected[ai.h2o.sparkling.ml.models]

  17. def extractParams(modelJson: JsonObject): Map[String, String]

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  18. def extractScoringHistory(outputJson: JsonObject): DataFrame

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  19. def finalize(): Unit

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

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  21. def getModelDetails(modelJson: JsonObject): String

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  22. def getModelJson(mojo: File): JsonObject

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  23. def hashCode(): Int

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  24. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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  25. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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  26. final def isInstanceOf[T0]: Boolean

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  27. def isTraceEnabled(): Boolean

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  28. def jsonFieldToDataFrame(outputJson: JsonObject, fieldName: String): DataFrame

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  29. def jsonFieldToDoubleArray(outputJson: JsonObject, fieldName: String): Array[Double]

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  30. def log: Logger

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  31. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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  32. def logDebug(msg: ⇒ String): Unit

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  33. def logError(msg: ⇒ String, throwable: Throwable): Unit

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  34. def logError(msg: ⇒ String): Unit

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  35. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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  36. def logInfo(msg: ⇒ String): Unit

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  37. def logName: String

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  38. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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  39. def logTrace(msg: ⇒ String): Unit

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  40. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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  41. def logWarning(msg: ⇒ String): Unit

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

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  43. final def notify(): Unit

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  44. final def notifyAll(): Unit

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

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  46. def toString(): String

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  47. final def wait(): Unit

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

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

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Inherited from Logging

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