public void attribute_indices_correctly_for_higher_orders_with_search_interval()
{
double[] data = { 0.0, 1.0, 3.0, 6.0, 18.0, 72.0 };
AbsoluteChangeStrategy strategy = new AbsoluteChangeStrategy(Option <double> .None, 8.0, 2);
IEnumerable <(int, Anomaly)> anomalyResult = strategy.Detect(data, (5, 6));
(int, Anomaly)[] expected = { (5, new Anomaly(72.0, 1.0, Option <string> .None)) };
private VerificationResult CreateAnomalyChecksAndRunEverything(
DataFrame data,
IMetricsRepository repository,
Check otherCheck,
IEnumerable <IAnalyzer <IMetric> > additionalRequiredAnalyzers)
{
// We only want to use historic data with the EU tag for the anomaly checks since the new
// data point is from the EU marketplace
var filterEU = new Dictionary <string, string> {
{ "marketplace", "EU" }
};
// We only want to use data points before the date time associated with the current
// data point and only ones that are from 2018
var afterDateTime = CreateDate(2018, 1, 1);
var beforeDateTime = CreateDate(2018, 8, 1);
// Config for the size anomaly check
var sizeAnomalyCheckConfig = new AnomalyCheckConfig(CheckLevel.Error, "Size only increases",
filterEU, afterDateTime, beforeDateTime);
var sizeAnomalyDetectionStrategy = new AbsoluteChangeStrategy(0);
// Config for the mean sales anomaly check
var meanSalesAnomalyCheckConfig = new AnomalyCheckConfig(
CheckLevel.Warning,
"Sales mean within 2 standard deviations",
filterEU,
afterDateTime,
beforeDateTime
);
var meanSalesAnomalyDetectionStrategy = new OnlineNormalStrategy(upperDeviationFactor: 2, lowerDeviationFactor: Option <double> .None,
ignoreAnomalies: false);
// ResultKey to be used when saving the results of this run
var currentRunResultKey =
new ResultKey(CreateDate(2018, 8, 1), new Dictionary <string, string> {
{ "marketplace", "EU" }
});
return(new VerificationSuite()
.OnData(data)
.AddCheck(otherCheck)
.AddRequiredAnalyzers(additionalRequiredAnalyzers)
.UseRepository(repository)
// Add the Size anomaly check
.AddAnomalyCheck(sizeAnomalyDetectionStrategy, Initializers.Size(), sizeAnomalyCheckConfig)
// Add the Mean sales anomaly check
.AddAnomalyCheck(meanSalesAnomalyDetectionStrategy, Initializers.Mean("sales"),
meanSalesAnomalyCheckConfig)
// Save new data point in the repository after we calculated everything
.SaveOrAppendResult(currentRunResultKey)
.Run());
}