Type Members

1.  case class LinearRegression(sample: Map[Double, Double]) extends Product with Serializable

   Performs a simple linear regression with a single explanatory variable

2.  case class LinearRegressionResult(beta: Double, alpha: Double, sigma: Double, beta_se: Double, alpha_se: Double, beta_p_score: Double, alpha_p_score: Double, size: Int, xMean: Double, xSquaredMeanDiff: Double) extends Product with Serializable
3.  class LinearRegressionUdaf extends UserDefinedAggregateFunction

   User defined function which collects double values and performs a simple linear regression on the collected data.

4.  case class NumericSeriesAnalysis(outlierThreshold: Double = 0.05, minTrendLength: Int = 5, maxOutlierClusterSize: Int = 1, metrics: List[SeriesMetric] = List(NumericSeriesMetric(1))) extends Product with Serializable
5.  case class NumericSeriesAnalysisHyperParameters(minTrendLength: Int = 5, outlierThreshold: Double = 0.05, maxOutlierClusterSize: Int = 2) extends Product with Serializable
6.  case class NumericSeriesMetric(step: Long) extends SeriesMetric with Product with Serializable
7.  case class NumericSeriesOutlier(location: Long, value: Double, likelihood: Double, cluster: Option[OutlierCluster] = None) extends Product with Serializable
8.  case class NumericSeriesStatistics(size: Int, xMean: Double, xSquaredMeanDiff: Double) extends Product with Serializable
9.  case class NumericSeriesTrend(start: Long, end: Long, step: Long, slope: Double, intercept: Double, sigma: Double, period: Option[Long], outliers: List[NumericSeriesOutlier]) extends Product with Serializable
10.  class OutlierFinder extends AnyRef

    finds clusters in list of points

11.  case class PeriodicCompatibilityChecker(parameters: NumericSeriesAnalysisHyperParameters, AllGreaterTrends: List[TrendsInMetric]) extends Product with Serializable
12.  case class Point(x: XAxisType, y: YAxisType) extends Product with Serializable
13.  class PointsAfterOutlierTracker extends AnyRef
14.  trait SeriesMetric extends AnyRef
15.  class SignFrequency extends UserDefinedAggregateFunction
16.  case class TimeSeriesMetric(step: String) extends SeriesMetric with Product with Serializable
17.  case class TrendFinalizer(parameters: NumericSeriesAnalysisHyperParameters, sortedPoints: List[Point]) extends Product with Serializable
18.  case class TrendLine extends Product with Serializable
19.  class TrendLineBuffer extends AnyRef

    params are used in addTrendLine to adjust end point

20.  case class TrendsInMetric(metric: SeriesMetric, trendLines: List[TrendLine]) extends Product with Serializable

    since this algorithm can be used with multiple metrics, this case class holds the result of the algorithm for one of the metrics.

    since this algorithm can be used with multiple metrics, this case class holds the result of the algorithm for one of the metrics. i.e. if the algorithm is run with 3 different metrics (stepSize=1,10,20), then we can create three instances of TrendsInMetric, one for every metric

21.  class ValueFrequency extends UserDefinedAggregateFunction