Context Navigation

Evaluators

Timestamp:

07/09/10 17:01:36 (14 years ago)

Author:

gkronber

Message:

Worked on symbolic regression classes to prepare for time series prognosis plugin. #1081

Location:

Files:

-                      r3996
+                      r4022
+    }
+    #region IPairedEnumerableEvaluator Members
+    #region IOnlineEvaluator Members
+    public double Value {
+      get { return MeanAbsolutePercentageError; }
+    }
     public void Reset() {
       n = 0;

-                      r3996
+                      r4022
     #region IOnlineEvaluator Members
+    public double Value {
+      get { return MeanSquaredError; }
+    }
     public void Reset() {
       n = 0;
 …
       if (double.IsNaN(estimated) || double.IsInfinity(estimated) ||
           double.IsNaN(original) || double.IsInfinity(original)) {
             throw new ArgumentException("Mean squared error is not defined for NaN or infinity elements");
+        throw new ArgumentException("Mean squared error is not defined for NaN or infinity elements");
       } else {
         double error = estimated - original;

-                      r3996
+                      r4022
     #region IOnlineEvaluator Members
+    public double Value {
+      get { return RSquared; }
+    }
     public void Reset() {
       sum_sq_x = 0.0;

-                      r3462
+                      r4022
     public static double Calculate(IEnumerable<double> original, IEnumerable<double> estimated) {
+      double mse = SimpleMSEEvaluator.Calculate(original, estimated);
+      return mse / original.Variance();
+      OnlineNormalizedMeanSquaredErrorEvaluator nmseEvaluator = new OnlineNormalizedMeanSquaredErrorEvaluator();
+      var originalEnumerator = original.GetEnumerator();
+      var estimatedEnumerator = estimated.GetEnumerator();
+      while (originalEnumerator.MoveNext() & estimatedEnumerator.MoveNext()) {
+        nmseEvaluator.Add(originalEnumerator.Current, estimatedEnumerator.Current);
+      }
+      if (originalEnumerator.MoveNext() || estimatedEnumerator.MoveNext()) {
+        throw new ArgumentException("Number of elements in original and estimated enumerations doesn't match.");
+      }
+      return nmseEvaluator.NormalizedMeanSquaredError;
+    }
+  }

Note: See TracChangeset for help on using the changeset viewer.