TimeSeriesRDD

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18. def timeSeriesRDD[K](targetIndex: DateTimeIndex, seriesRDD: RDD[TimeSeries[K]])(implicit kClassTag: ClassTag[K]): TimeSeriesRDD[K]

    Instantiates a TimeSeriesRDD from an RDD of TimeSeries.

    Instantiates a TimeSeriesRDD from an RDD of TimeSeries.

    targetIndex

    DateTimeIndex to conform all the indices to.

    seriesRDD

    RDD of time series, each with their own DateTimeIndex.

19. def timeSeriesRDD[K](targetIndex: UniformDateTimeIndex, seriesRDD: RDD[(K, UniformDateTimeIndex, Vector)])(implicit kClassTag: ClassTag[K]): TimeSeriesRDD[K]

    Instantiates a TimeSeriesRDD.

    Instantiates a TimeSeriesRDD.

    targetIndex

    DateTimeIndex to conform all the indices to.

    seriesRDD

    RDD of time series, each with their own DateTimeIndex.

20. def timeSeriesRDDFromCsv(path: String, sc: SparkContext): TimeSeriesRDD[String]

    Loads a TimeSeriesRDD from a directory containing a set of CSV files and a date-time index.

21. def timeSeriesRDDFromObservations(targetIndex: DateTimeIndex, df: DataFrame, tsCol: String, keyCol: String, valueCol: String): TimeSeriesRDD[String]

    Instantiates a TimeSeriesRDD from a DataFrame of observations.

    Instantiates a TimeSeriesRDD from a DataFrame of observations.

    targetIndex

    DateTimeIndex to conform all the series to.

    df

    The DataFrame.

    tsCol

    The Timestamp column telling when the observation occurred.

    keyCol

    The string column labeling which string key the observation belongs to..

    valueCol

    The observed value..

22. def timeSeriesRDDFromPython(index: DateTimeIndex, pyRdd: RDD[Array[Byte]]): TimeSeriesRDD[String]

    Creates a TimeSeriesRDD from rows in a binary format that Python can write to.

    Creates a TimeSeriesRDD from rows in a binary format that Python can write to. Not a public API. For use only by the Python API.

23. def toString(): String

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