Changeset 7129 for branches/HeuristicLab.TimeSeries/HeuristicLab.Problems.DataAnalysis.Views/3.4/TimeSeriesPrognosis/TimeSeriesPrognosisSolutionLineChartView.cs

Timestamp:

12/05/11 20:17:59 (12 years ago)

Author:

gkronber

Message:

#1081 worked on multi-variate time series prognosis

File:

• branches/HeuristicLab.TimeSeries/HeuristicLab.Problems.DataAnalysis.Views/3.4/TimeSeriesPrognosis/TimeSeriesPrognosisSolutionLineChartView.cs (modified) (7 diffs)

branches/HeuristicLab.TimeSeries/HeuristicLab.Problems.DataAnalysis.Views/3.4/TimeSeriesPrognosis/TimeSeriesPrognosisSolutionLineChartView.cs

@@ -36 +36 @@
     private const string PROGNOSEDVALUES_TEST_SERIES_NAME = "Prognosed Values (test)";
     private const string PROGNOSEDVALUES_ALL_SERIES_NAME = "Prognosed Values (all samples)";
+    private string prevTargetVariable;
 
     public new ITimeSeriesPrognosisSolution Content {
@@ -57 +58 @@
     }
 
+    private void UpdateTargetVariables() {
+      // populate combobox
+      targetVariableComboBox.Items.Clear();
+      if (Content != null) {
+        foreach (var targetVariable in Content.ProblemData.TargetVariables)
+          targetVariableComboBox.Items.Add(targetVariable);
+
+        targetVariableComboBox.SelectedIndex = 0;
+      }
+    }
+
+
+
     private void RedrawChart() {
       this.chart.Series.Clear();
@@ -62 +76 @@
         this.chart.ChartAreas[0].AxisX.Minimum = 0;
         this.chart.ChartAreas[0].AxisX.Maximum = Content.ProblemData.Dataset.Rows - 1;
+        string targetVariable = (string)targetVariableComboBox.SelectedItem;
+        int varIndex = Content.ProblemData.TargetVariables.ToList().IndexOf(targetVariable);
 
         this.chart.Series.Add(TARGETVARIABLE_SERIES_NAME);
-        this.chart.Series[TARGETVARIABLE_SERIES_NAME].LegendText = Content.ProblemData.TargetVariable;
+        this.chart.Series[TARGETVARIABLE_SERIES_NAME].LegendText = targetVariable;
         this.chart.Series[TARGETVARIABLE_SERIES_NAME].ChartType = SeriesChartType.FastLine;
         this.chart.Series[TARGETVARIABLE_SERIES_NAME].Points.DataBindXY(Enumerable.Range(0, Content.ProblemData.Dataset.Rows).ToArray(),
-          Content.ProblemData.Dataset.GetDoubleValues(Content.ProblemData.TargetVariable).ToArray());
+          Content.ProblemData.Dataset.GetDoubleValues(targetVariable).ToArray());
 
         this.chart.Series.Add(PROGNOSEDVALUES_TRAINING_SERIES_NAME);
         this.chart.Series[PROGNOSEDVALUES_TRAINING_SERIES_NAME].LegendText = PROGNOSEDVALUES_TRAINING_SERIES_NAME;
         this.chart.Series[PROGNOSEDVALUES_TRAINING_SERIES_NAME].ChartType = SeriesChartType.FastLine;
-        this.chart.Series[PROGNOSEDVALUES_TRAINING_SERIES_NAME].Points.DataBindXY(Content.ProblemData.TrainingIndizes.ToArray(), Content.PrognosedTrainingValues.ToArray());
+        if (prognosedValuesCheckbox.Checked) {
+          this.chart.Series[PROGNOSEDVALUES_TRAINING_SERIES_NAME].Points
+            .DataBindXY(Content.ProblemData.TrainingIndizes.ToArray(),
+                        Content.PrognosedTrainingValues.ElementAt(varIndex).ToArray());
+        } else {
+          this.chart.Series[PROGNOSEDVALUES_TRAINING_SERIES_NAME].Points
+            .DataBindXY(Content.ProblemData.TrainingIndizes.ToArray(),
+                        Content.GetPrognosedValues(Content.ProblemData.TrainingIndizes, 1).Select(v => v.ElementAt(varIndex).First()).ToArray());
+        }
         this.chart.Series[PROGNOSEDVALUES_TRAINING_SERIES_NAME].Tag = Content;
         this.chart.DataManipulator.InsertEmptyPoints(1, IntervalType.Number, PROGNOSEDVALUES_TRAINING_SERIES_NAME);
@@ -82 +106 @@
         this.chart.Series[PROGNOSEDVALUES_TEST_SERIES_NAME].LegendText = PROGNOSEDVALUES_TEST_SERIES_NAME;
         this.chart.Series[PROGNOSEDVALUES_TEST_SERIES_NAME].ChartType = SeriesChartType.FastLine;
-        this.chart.Series[PROGNOSEDVALUES_TEST_SERIES_NAME].Points.DataBindXY(Content.ProblemData.TestIndizes.ToArray(), Content.PrognosedTestValues.ToArray());
+        if (prognosedValuesCheckbox.Checked) {
+          this.chart.Series[PROGNOSEDVALUES_TEST_SERIES_NAME].Points
+            .DataBindXY(Content.ProblemData.TestIndizes.ToArray(),
+                        Content.PrognosedTestValues.ElementAt(varIndex).ToArray());
+        } else {
+          this.chart.Series[PROGNOSEDVALUES_TEST_SERIES_NAME].Points
+            .DataBindXY(Content.ProblemData.TestIndizes.ToArray(),
+                        Content.GetPrognosedValues(Content.ProblemData.TestIndizes, 1).Select(
+                          v => v.ElementAt(varIndex).First()).ToArray());
+        }
         this.chart.Series[PROGNOSEDVALUES_TEST_SERIES_NAME].Tag = Content;
-
-
-        int[] allIndizes = Enumerable.Range(0, Content.ProblemData.Dataset.Rows).Except(Content.ProblemData.TrainingIndizes).Except(Content.ProblemData.TestIndizes).ToArray();
-        var estimatedValues = Content.PrognosedValues.ToArray();
-        List<double> allEstimatedValues = allIndizes.Select(index => estimatedValues[index]).ToList();
-
-        this.chart.Series.Add(PROGNOSEDVALUES_ALL_SERIES_NAME);
-        this.chart.Series[PROGNOSEDVALUES_ALL_SERIES_NAME].LegendText = PROGNOSEDVALUES_ALL_SERIES_NAME;
-        this.chart.Series[PROGNOSEDVALUES_ALL_SERIES_NAME].ChartType = SeriesChartType.FastLine;
-        this.chart.Series[PROGNOSEDVALUES_ALL_SERIES_NAME].Points.DataBindXY(allIndizes, allEstimatedValues);
-        this.chart.Series[PROGNOSEDVALUES_ALL_SERIES_NAME].Tag = Content;
-        this.chart.DataManipulator.InsertEmptyPoints(1, IntervalType.Number, PROGNOSEDVALUES_ALL_SERIES_NAME);
-        this.chart.Series[PROGNOSEDVALUES_TRAINING_SERIES_NAME].EmptyPointStyle.BorderWidth = 0;
-        this.chart.Series[PROGNOSEDVALUES_TRAINING_SERIES_NAME].EmptyPointStyle.MarkerStyle = MarkerStyle.None;
-        this.ToggleSeriesData(this.chart.Series[PROGNOSEDVALUES_ALL_SERIES_NAME]);
 
         UpdateCursorInterval();
@@ -130 +148 @@
     protected override void OnContentChanged() {
       base.OnContentChanged();
+      UpdateTargetVariables();
+    }
+
+    private void Content_ProblemDataChanged(object sender, EventArgs e) {
+      UpdateTargetVariables();
+    }
+    private void Content_ModelChanged(object sender, EventArgs e) {
       RedrawChart();
     }
-    private void Content_ProblemDataChanged(object sender, EventArgs e) {
+
+    private void targetVariableComboBox_SelectedIndexChanged(object sender, EventArgs e) {
       RedrawChart();
     }
-    private void Content_ModelChanged(object sender, EventArgs e) {
+    private void prognosedValuesCheckbox_CheckedChanged(object sender, EventArgs e) {
       RedrawChart();
     }
@@ -207 +233 @@
         }
       } else if (Content != null) {
-        string targetVariableName = Content.ProblemData.TargetVariable;
+        string targetVariable = (string)targetVariableComboBox.SelectedItem;
+        int varIndex = Content.ProblemData.TargetVariables.ToList().IndexOf(targetVariable);
+
 
         IEnumerable<int> indizes = null;
         IEnumerable<double> predictedValues = null;
         switch (series.Name) {
-          case PROGNOSEDVALUES_ALL_SERIES_NAME:
-            indizes = Enumerable.Range(0, Content.ProblemData.Dataset.Rows).Except(Content.ProblemData.TrainingIndizes).Except(Content.ProblemData.TestIndizes).ToArray();
-            var estimatedValues = Content.PrognosedValues.ToArray();
-            predictedValues = indizes.Select(index => estimatedValues[index]).ToList();
-            break;
           case PROGNOSEDVALUES_TRAINING_SERIES_NAME:
             indizes = Content.ProblemData.TrainingIndizes.ToArray();
-            predictedValues = Content.PrognosedTrainingValues.ToArray();
+            predictedValues = Content.PrognosedTrainingValues.ElementAt(varIndex).ToArray();
             break;
           case PROGNOSEDVALUES_TEST_SERIES_NAME:
             indizes = Content.ProblemData.TestIndizes.ToArray();
-            predictedValues = Content.PrognosedTestValues.ToArray();
+            predictedValues = Content.PrognosedTestValues.ElementAt(varIndex).ToArray();
             break;
         }
@@ -255 +278 @@
       e.LegendItems[3].Cells[1].ForeColor = this.chart.Series[PROGNOSEDVALUES_ALL_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
     }
+
   }
 }