Safe Haskell | Safe |
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Utility functions for statistical accumulation.
Synopsis
- type TagTagMap = Map (String, String) Int
- data Statistics
- = SumStatistics Double
- | StdDevStatistics Double Double Double
- | MapStatistics TagTagMap
- data AggregateComponent
- = SimpleNumber Double
- | SpreadValues TagTagMap
- getSumStatistics :: [AggregateComponent] -> Statistics
- getStdDevStatistics :: [AggregateComponent] -> Statistics
- getMapStatistics :: [AggregateComponent] -> Statistics
- getStatisticValue :: Statistics -> Double
- updateStatistics :: Statistics -> (AggregateComponent, AggregateComponent) -> Statistics
Documentation
type TagTagMap = Map (String, String) Int Source #
Type to store the number of instances for each exclusion and location pair. This is necessary to calculate second component of location score.
data Statistics Source #
Abstract type of statistical accumulations. They behave as if the given statistics were computed on the list of values, but they allow a potentially more efficient update of a given value.
SumStatistics Double | |
StdDevStatistics Double Double Double | |
MapStatistics TagTagMap |
Instances
Show Statistics # | |
Defined in Ganeti.Utils.Statistics showsPrec :: Int -> Statistics -> ShowS show :: Statistics -> String showList :: [Statistics] -> ShowS |
data AggregateComponent Source #
Abstract type of per-node statistics measures. The SimpleNumber is used to construct SumStatistics and StdDevStatistics while SpreadValues is used to construct MapStatistics.
SimpleNumber Double | |
SpreadValues TagTagMap |
getSumStatistics :: [AggregateComponent] -> Statistics Source #
Get a statistics that sums up the values.
getStdDevStatistics :: [AggregateComponent] -> Statistics Source #
Get a statistics for the standard deviation.
getMapStatistics :: [AggregateComponent] -> Statistics Source #
Get a statistics for the standard deviation.
getStatisticValue :: Statistics -> Double Source #
Obtain the value of a statistics.
updateStatistics :: Statistics -> (AggregateComponent, AggregateComponent) -> Statistics Source #
In a given statistics replace on value by another. This will only give meaningful results, if the original value was actually part of the statistics.