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normalization of methods

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Miha Kralj
2026-02-10 21:33:16 -08:00
parent 915d7a007b
commit 6d6259a47d
527 changed files with 10525 additions and 2123 deletions
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lib/errors/mrae/Mrae.Tests.cs
+2 -2
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@@ -284,7 +284,7 @@ public class MraeTests
predicted.Add(now.AddMinutes(i), i * 110); // 10% error
}
var results = Mrae.Calculate(actual, predicted, 3);
var results = Mrae.Batch(actual, predicted, 3);
Assert.Equal(10, results.Count);
Assert.Equal(0.1, results.Last.Value, 10);
@@ -306,7 +306,7 @@ public class MraeTests
predicted.Add(DateTime.UtcNow, i * 10);
}
Assert.Throws<ArgumentException>(() => Mrae.Calculate(actual, predicted, 3));
Assert.Throws<ArgumentException>(() => Mrae.Batch(actual, predicted, 3));
}
[Fact]
lib/errors/mrae/Mrae.cs
+9 -2
View File
@@ -49,7 +49,7 @@ public sealed class Mrae : BiInputIndicatorBase
/// <summary>
/// Calculates Mean Relative Absolute Error for two time series.
/// </summary>
public static TSeries Calculate(TSeries actual, TSeries predicted, int period)
public static TSeries Batch(TSeries actual, TSeries predicted, int period)
{
if (actual.Count != predicted.Count)
{
@@ -104,6 +104,13 @@ public sealed class Mrae : BiInputIndicatorBase
ErrorHelpers.ApplyRollingMean(errors, output, period);
}
public static (TSeries Results, Mrae Indicator) Calculate(TSeries actual, TSeries predicted, int period)
{
var indicator = new Mrae(period);
TSeries results = Batch(actual, predicted, period);
return (results, indicator);
}
/// <summary>
/// Computes relative errors (0-1 scale, not percentage).
/// </summary>
@@ -163,4 +170,4 @@ public sealed class Mrae : BiInputIndicatorBase
: 0.0;
}
}
}
}