DataCutter

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 apply(seed: Long = SplitterParamsDefault.seedDefault, reserveTestFraction: Double = ..., maxLabelCategories: Int = ..., minLabelFraction: Double = ..., maxTrainingSample: Int = ...): DataCutter

   

   Creates instance that will split data into training and test set filtering out any labels that don't meet the minimum fraction cutoff or fall in the top N labels specified

   Creates instance that will split data into training and test set filtering out any labels that don't meet the minimum fraction cutoff or fall in the top N labels specified

   seed

   set for the random split

   reserveTestFraction

   fraction of the data used for test

   maxLabelCategories

   maximum number of label categories to include

   minLabelFraction

   minimum fraction of total labels that a category must have to be included

   returns

   data splitter

5. final def asInstanceOf[T0]: T0

   

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6. def clone(): AnyRef

   

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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. final def isInstanceOf[T0]: Boolean

    

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

    

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13. final def notify(): Unit

    

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14. final def notifyAll(): Unit

    

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

    

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16. final def wait(): Unit

    

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

    

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

    

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