Author: tommaso
Date: Sat Jun 22 06:35:37 2013
New Revision: 1495672
URL: http://svn.apache.org/r1495672
Log:
fixed backprop debug message
Modified:
labs/yay/trunk/core/src/main/java/org/apache/yay/core/BackPropagationLearningStrategy.java
Modified:
labs/yay/trunk/core/src/main/java/org/apache/yay/core/BackPropagationLearningStrategy.java
URL:
http://svn.apache.org/viewvc/labs/yay/trunk/core/src/main/java/org/apache/yay/core/BackPropagationLearningStrategy.java?rev=1495672&r1=1495671&r2=1495672&view=diff
==============================================================================
---
labs/yay/trunk/core/src/main/java/org/apache/yay/core/BackPropagationLearningStrategy.java
(original)
+++
labs/yay/trunk/core/src/main/java/org/apache/yay/core/BackPropagationLearningStrategy.java
Sat Jun 22 06:35:37 2013
@@ -18,21 +18,15 @@
*/
package org.apache.yay.core;
-import java.util.Arrays;
-
import org.apache.commons.math3.linear.Array2DRowRealMatrix;
import org.apache.commons.math3.linear.ArrayRealVector;
import org.apache.commons.math3.linear.RealMatrix;
import org.apache.commons.math3.linear.RealVector;
-import org.apache.yay.CostFunction;
-import org.apache.yay.LearningStrategy;
-import org.apache.yay.NeuralNetwork;
-import org.apache.yay.PredictionStrategy;
-import org.apache.yay.TrainingExample;
-import org.apache.yay.TrainingSet;
-import org.apache.yay.WeightLearningException;
+import org.apache.yay.*;
import org.apache.yay.core.utils.ConversionUtils;
+import java.util.Arrays;
+
/**
* Back propagation learning algorithm for neural networks implementation (see
* <code>http://en.wikipedia.org/wiki/Backpropagation</code>).
@@ -80,7 +74,7 @@ public class BackPropagationLearningStra
if (newCost > cost) {
throw new RuntimeException("failed to converge at iteration " +
iterations + " with alpha " + alpha + " : cost going from " + cost + " to " +
newCost);
} else if (cost == newCost || newCost < threshold || iterations >
MAX_ITERATIONS) {
- System.out.println("successfully converged with alpha " + alpha + "
after " + iterations + " iterations with cost " + newCost + " and parameters "
+ Arrays.toString(hypothesis.getParameters()));
+ System.out.println("successfully converged after " + iterations + "
iterations (alpha:" + alpha + ",threshold:" + threshold + ") with cost " +
newCost + " and parameters " + Arrays.toString(hypothesis.getParameters()));
break;
}
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