keystoneml.pipelines.images.mnist

MnistRandomFFT

object MnistRandomFFT extends Serializable with Logging

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  1. case class MnistRandomFFTConfig(trainLocation: String = "", testLocation: String = "", numFFTs: Int = 200, blockSize: Int = 2048, numPartitions: Int = 10, lambda: Option[Double] = scala.None, seed: Long = 0) extends Product with Serializable

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

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

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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

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. def log: Logger

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    Logging

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

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

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

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

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

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

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

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  23. def logTrace(msg: ⇒ String): Unit

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

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

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  26. 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

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

    Definition Classes
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  28. final def notify(): Unit

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  29. final def notifyAll(): Unit

    Definition Classes
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  30. def parse(args: Array[String]): MnistRandomFFTConfig

  31. def run(sc: SparkContext, conf: MnistRandomFFTConfig): Pipeline[DenseVector[Double], Int]

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

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  33. def toString(): String

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  34. final def wait(): Unit

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

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

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