remove a unused parameter

yuyi@microsoft.com · yuyi@microsoft.com · commit fc780bc72474 · 2020-11-26T10:24:23.000+08:00
diff --git a/src/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs b/src/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs
@@ -456,7 +456,6 @@ public SrCnnEntireModeler(double threshold, double sensitivity, SrCnnDetectMode
                 _sensitivity = sensitivity;
                 _detectMode = detectMode;
                 _period = period;
-                // it will reduce the probability of a point detected as anomaly if its score window is too short
                 _predictArray = new double[_lookaheadWindowSize + 1];
 
                 switch (deseasonalityMode)
@@ -649,7 +648,7 @@ private double PredictNext(double[] data)
                 return (data[1] + slopeSum);
             }
 
-            private void AverageFilter(double[] data, int n, bool ignoreFirst=false)
+            private void AverageFilter(double[] data, int n)
             {
                 double cumsum = 0.0f;
                 int length = data.Length;

Original file line number	Diff line number	Diff line change
`@@ -456,7 +456,6 @@ public SrCnnEntireModeler(double threshold, double sensitivity, SrCnnDetectMode`
`456`	`456`	`_sensitivity = sensitivity;`
`457`	`457`	`_detectMode = detectMode;`
`458`	`458`	`_period = period;`
`459`		`- // it will reduce the probability of a point detected as anomaly if its score window is too short`
`460`	`459`	`_predictArray = new double[_lookaheadWindowSize + 1];`
`461`	`460`
`462`	`461`	`switch (deseasonalityMode)`
`@@ -649,7 +648,7 @@ private double PredictNext(double[] data)`
`649`	`648`	`return (data[1] + slopeSum);`
`650`	`649`	`}`
`651`	`650`
`652`		`- private void AverageFilter(double[] data, int n, bool ignoreFirst=false)`
	`651`	`+ private void AverageFilter(double[] data, int n)`
`653`	`652`	`{`
`654`	`653`	`double cumsum = 0.0f;`
`655`	`654`	`int length = data.Length;`