keystoneml.pipelines.images.imagenet

ImageNetSiftLcsFV

object ImageNetSiftLcsFV extends Serializable with Logging

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Type Members

  1. case class ImageNetSiftLcsFVConfig(trainLocation: String = "", testLocation: String = "", labelPath: String = "", lambda: Double = 6.0E-5, mixtureWeight: Double = 0.25, descDim: Int = 64, vocabSize: Int = 16, siftScaleStep: Int = 1, lcsStride: Int = 4, lcsBorder: Int = 16, lcsPatch: Int = 6, siftPcaFile: Option[String] = scala.None, siftGmmMeanFile: Option[String] = scala.None, siftGmmVarFile: Option[String] = scala.None, siftGmmWtsFile: Option[String] = scala.None, lcsPcaFile: Option[String] = scala.None, lcsGmmMeanFile: Option[String] = scala.None, lcsGmmVarFile: Option[String] = scala.None, lcsGmmWtsFile: Option[String] = scala.None, numPcaSamples: Int = 1.0E7.toInt, numGmmSamples: Int = 1.0E7.toInt) extends Product with Serializable

Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  2. final def !=(arg0: Any): Boolean

    Definition Classes
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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  5. final def ==(arg0: Any): Boolean

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  6. val appName: String

  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
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    @throws( ... )

  9. def computePCAandFisherBranch(prefix: Pipeline[Image, DenseMatrix[Float]], trainingData: RDD[Image], pcaFile: Option[String], gmmMeanFile: Option[String], gmmVarFile: Option[String], gmmWtsFile: Option[String], numColSamplesPerImage: Int, numPCADesc: Int, gmmVocabSize: Int): Pipeline[Image, DenseVector[Double]]

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

    Definition Classes
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  11. def equals(arg0: Any): Boolean

    Definition Classes
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  12. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

  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 log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

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    protected
    Definition Classes
    Logging

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

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    Logging

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

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    Logging

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

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    protected
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    Logging

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

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    Logging

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

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

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    protected
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  24. def logTrace(msg: ⇒ String): Unit

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    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Logging

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

    Attributes
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    Definition Classes
    Logging

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

    The actual driver receives its configuration parameters from spark-submit usually.

    The actual driver receives its configuration parameters from spark-submit usually.

    args

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

    Definition Classes
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  29. final def notify(): Unit

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  30. final def notifyAll(): Unit

    Definition Classes
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  31. def parse(args: Array[String]): ImageNetSiftLcsFVConfig

  32. def run(sc: SparkContext, conf: ImageNetSiftLcsFVConfig): Pipeline[Image, Array[Int]]

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

    Definition Classes
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  34. def toString(): String

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  35. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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Inherited from Logging

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