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ai.h2o.sparkling.examples

ChicagoCrimeApp

object ChicagoCrimeApp

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Type Members

  1. case class Crime(date: String, IUCR: Short, Primary_Type: String, Location_Description: String, Domestic: Boolean, Beat: Short, District: Byte, Ward: Byte, Community_Area: Byte, FBI_Code: Byte) extends Product with Serializable

Value Members

  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. def addAdditionalDateColumns(spark: SparkSession, df: DataFrame): DataFrame
  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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    @throws( ... ) @native()
  7. def createCensusTable(spark: SparkSession, datafile: String): DataFrame
  8. def createCrimeTable(spark: SparkSession, datafile: String): DataFrame
  9. def createWeatherTable(spark: SparkSession, datafile: String): DataFrame
  10. final def eq(arg0: AnyRef): Boolean
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  11. def equals(arg0: Any): Boolean
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  12. def finalize(): Unit
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  13. final def getClass(): Class[_]
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  14. def hashCode(): Int
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  15. final def isInstanceOf[T0]: Boolean
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  16. def main(args: Array[String]): Unit
  17. final def ne(arg0: AnyRef): Boolean
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  18. final def notify(): Unit
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  19. final def notifyAll(): Unit
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    @native()
  20. def score(spark: SparkSession, crimes: Seq[Crime], gbmModel: H2OMOJOModel, dlModel: H2OMOJOModel, censusTable: DataFrame): Unit
  21. def scoreEvent(spark: SparkSession, crime: Crime, model: H2OMOJOModel, censusTable: DataFrame): Boolean
  22. final def synchronized[T0](arg0: ⇒ T0): T0
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  23. def toString(): String
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  24. def trainDeepLearning(train: DataFrame): H2OMOJOModel
  25. def trainGBM(train: DataFrame): H2OMOJOModel
  26. final def wait(): Unit
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  27. final def wait(arg0: Long, arg1: Int): Unit
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  28. final def wait(arg0: Long): Unit
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