Sessions

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

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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9. def findSessions[V](ts: TimeSeries[V], tolerance: Duration)(implicit arg0: Numeric[V], num: Fractional[V]): Seq[Session]

   

   Finds sessions with a duration tolerance

   Finds sessions with a duration tolerance

   tolerance

   the time distance (inclusive) between two detected sessions that will make the sessions merged, for example, for a fragment of signal values distributed evenly for exactly one second (2, 0, 1, 0, 0, 2, 3, 4, 5, 7, 0) the Duration.ofSeconds(1) will be following sessions detected: [Session(0,0), Session(2,2), Session(5, 9)] the Duration.ofSeconds(2) will be following sessions detected: [Session(0,2), Session(5, 9)]

10. def findSessions[V](ts: TimeSeries[V])(implicit arg0: Numeric[V], num: Numeric[V]): Seq[Session]

    

    Session is continuous period where the data point value is not 0

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

    

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12. def hashCode(): Int

    

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13. final def isInstanceOf[T0]: Boolean

    

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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 splitBySession[V](ts: TimeSeries[V], session: Session)(implicit arg0: Numeric[V]): TimeSeries[V]

    

    Time series adjusted to session, inclusive

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

    

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19. def toString(): String

    

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20. final def wait(): Unit

    

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

    

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

    

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