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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
6.  def autoML(): H2OAutoML
7.  def clone(): AnyRef

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8.  def createColumnPruner(hashingTF: HashingTF, stopWordsRemover: StopWordsRemover, tokenizer: RegexTokenizer): ColumnPruner
9.  def createHashingTF(stopWordsRemover: StopWordsRemover): HashingTF
10.  def createIDF(hashingTF: HashingTF): IDF
11.  def createPipeline(stages: Array[_ <: PipelineStage]): Pipeline
12.  def createStopWordsRemover(tokenizer: RegexTokenizer): StopWordsRemover
13.  def createTokenizer(): RegexTokenizer
14.  def deepLearning(): H2ODeepLearning
15.  final def eq(arg0: AnyRef): Boolean

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16.  def equals(arg0: Any): Boolean

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17.  def finalize(): Unit

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18.  def gbm(): H2OGBM
19.  final def getClass(): Class[_]

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20.  def gridSearch(): H2OGridSearch
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
24.  def load(spark: SparkSession, dataFile: String): DataFrame
25.  def main(args: Array[String]): Unit
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
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