Incremented version.

build.gradle

@@ -47,7 +47,7 @@ allprojects {
         }
     }
 
-    version '0.3'
+    version '0.4'
 
     group 'de.qaware.chronix'
 

src/main/java/de/qaware/chronix/timeseries/MultivariateTimeSeries.java

@@ -26,6 +26,7 @@
 
 import de.qaware.chronix.dt.IntList;
 import de.qaware.chronix.dt.LongList;
+import org.apache.commons.lang3.builder.ToStringBuilder;
 
 import java.util.ArrayList;
 import java.util.List;
@@ -73,18 +74,10 @@ public void setDimensions(IntList newLabels) {
         labels.addAll(newLabels);
     }
 
-    public double getMeasurement(int pointIndex, int valueIndex) {
-        return values.get(pointIndex)[valueIndex];
-    }
-
     public double[] getMeasurementVector(int pointIndex) {
         return values.get(pointIndex);
     }
 
-    public void setMeasurement(int pointIndex, int valueIndex, double newValue) {
-        values.get(pointIndex)[valueIndex] = newValue;
-    }
-
     public void add(long time, double[] values) {
         if (labels.size() != values.length + 1)  // labels include a label for time
             throw new InternalError("ERROR:  The TSValues: " + values + " contains the wrong number of values. " + "expected:  " + labels.size() + ", " + "found: " + values.length);
@@ -96,56 +89,12 @@ public void add(long time, double[] values) {
         this.values.add(values);
     }
 
-
-    public void normalize() {
-        // Calculate the mean of each FD.
-        final double[] mean = new double[this.numOfDimensions()];
-        for (int col = 0; col < numOfDimensions(); col++) {
-            double currentSum = 0.0;
-            for (int row = 0; row < this.size(); row++)
-                currentSum += this.getMeasurement(row, col);
-
-            mean[col] = currentSum / this.size();
-        }  // end for loop
-
-        // Calculate the standard deviation of each FD.
-        final double[] stdDev = new double[numOfDimensions()];
-        for (int col = 0; col < numOfDimensions(); col++) {
-            double variance = 0.0;
-            for (int row = 0; row < this.size(); row++)
-                variance += Math.abs(getMeasurement(row, col) - mean[col]);
-
-            stdDev[col] = variance / this.size();
-        }  // end for loop
-
-
-        // Normalize the values in the data using the mean and standard deviation
-        //    for each FD.  =>  Xrc = (Xrc-Mc)/SDc
-        for (int row = 0; row < this.size(); row++) {
-            for (int col = 0; col < numOfDimensions(); col++) {
-                // Normalize data point.
-                if (stdDev[col] == 0.0)   // prevent divide by zero errors
-                    setMeasurement(row, col, 0.0);  // stdDev is zero means all pts identical
-                else   // typical case
-                    setMeasurement(row, col, (getMeasurement(row, col) - mean[col]) / stdDev[col]);
-            }  // end for loop
-        }  // end for loop
-    }  // end normalize();
-
-
+    @Override
     public String toString() {
-        final StringBuilder outStr = new StringBuilder();
-
-        // Write the data for each row.
-        for (int r = 0; r < times.size(); r++) {
-            // The rest of the value on the row.
-            final double[] values = this.values.get(r);
-            for (int c = 0; c < values.length; c++)
-                outStr.append(values[c]);
-
-            if (r < times.size() - 1)
-                outStr.append("\n");
-        }
-        return outStr.toString();
+        return new ToStringBuilder(this)
+                .append("labels", labels)
+                .append("times", times)
+                .append("values", values)
+                .toString();
     }
 }