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com.github.cloudml.zen.examples.ml

LDADriver

Related Doc: package ml

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object LDADriver

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Type Members

  1. type OptionMap = Map[String, String]

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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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    protected[java.lang]
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  6. def convertDocsToBagOfWords(sc: SparkContext, rawDocs: RDD[String], storageLevel: StorageLevel): RDD[(Long, SparseVector[Int])]

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. def parseArgs(args: Array[String]): OptionMap

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  18. def readDocsFromTxt(sc: SparkContext, docsPath: String, sampleRate: Double, numPartitions: Int, storageLevel: StorageLevel): RDD[(Long, SparseVector[Int])]

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  19. def runTraining(sc: SparkContext, outputPath: String, numTopics: Int, totalIter: Int, alpha: Float, beta: Float, alphaAS: Float, trainingDocs: RDD[(Long, SparseVector[Int])], LDAAlgorithm: String, partStrategy: String, chkptInterval: Int, calcPerplexity: Boolean, storageLevel: StorageLevel, saveAsSolid: Boolean): Double

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

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  21. def toString(): String

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  22. final def wait(): Unit

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

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

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