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ai.h2o.sparkling.examples

HamOrSpamDemo

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object HamOrSpamDemo

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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 assertPredictions(spark: SparkSession, model: PipelineModel): Unit

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  6. def autoML(): H2OAutoML

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  7. def clone(): AnyRef

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  8. def createColumnPruner(hashingTF: HashingTF, stopWordsRemover: StopWordsRemover, tokenizer: RegexTokenizer): ColumnPruner

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  9. def createHashingTF(stopWordsRemover: StopWordsRemover): HashingTF

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  10. def createIDF(hashingTF: HashingTF): IDF

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  11. def createPipeline(stages: Array[_ <: PipelineStage]): Pipeline

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  12. def createStopWordsRemover(tokenizer: RegexTokenizer): StopWordsRemover

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  13. def createTokenizer(): RegexTokenizer

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  14. def deepLearning(): H2ODeepLearning

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

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  17. def finalize(): Unit

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  18. def gbm(): H2OGBM

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

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  20. def gridSearch(): H2OGridSearch

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  21. def hashCode(): Int

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  22. final def isInstanceOf[T0]: Boolean

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  23. def isSpam(spark: SparkSession, smsText: String, model: PipelineModel): Boolean

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  24. def load(spark: SparkSession, dataFile: String): DataFrame

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  25. def main(args: Array[String]): Unit

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

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  27. final def notify(): Unit

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  28. final def notifyAll(): Unit

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

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  30. def toString(): String

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  31. def trainPipeline(pipeline: Pipeline, data: DataFrame): PipelineModel

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  32. final def wait(): Unit

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

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

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  35. def xgboost(): H2OXGBoost

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