TimitFeaturesDataLoader

Value Members

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. def apply(sc: SparkContext, trainDataLocation: String, trainLabelsLocation: String, testDataLocation: String, testLabelsLocation: String, numParts: Int = 512): TimitFeaturesData

   Loads the pre-featurized Timit data.

   Loads the pre-featurized Timit data. Expects features data to be stored as a csv of numbers, and labels as "row# label" where row# is the number of the row in the data csv it is referring to (starting at row #1)

   sc

   SparkContext to use

   trainDataLocation

   CSV of the training data

   trainLabelsLocation

   labels of the training data

   testDataLocation

   CSV of the test data

   testLabelsLocation

   labels of the test data

   numParts

   number of partitions per RDD

   returns

   A TimitFeaturesData object containing the loaded train & test data as RDDs

7. final def asInstanceOf[T0]: T0

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8. def clone(): AnyRef

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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. final def ne(arg0: AnyRef): Boolean

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16. final def notify(): Unit

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17. final def notifyAll(): Unit

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18. val numClasses: Int

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

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20. val timitDimension: Int

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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