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Posted to commits@labs.apache.org by to...@apache.org on 2012/07/30 17:38:13 UTC
svn commit: r1367124 -
/labs/yay/trunk/core/src/main/java/org/apache/yay/LogisticRegressionCostFunction.java
Author: tommaso
Date: Mon Jul 30 15:38:13 2012
New Revision: 1367124
URL: http://svn.apache.org/viewvc?rev=1367124&view=rev
Log:
fixing missing generic in LRCF
Modified:
labs/yay/trunk/core/src/main/java/org/apache/yay/LogisticRegressionCostFunction.java
Modified: labs/yay/trunk/core/src/main/java/org/apache/yay/LogisticRegressionCostFunction.java
URL: http://svn.apache.org/viewvc/labs/yay/trunk/core/src/main/java/org/apache/yay/LogisticRegressionCostFunction.java?rev=1367124&r1=1367123&r2=1367124&view=diff
==============================================================================
--- labs/yay/trunk/core/src/main/java/org/apache/yay/LogisticRegressionCostFunction.java (original)
+++ labs/yay/trunk/core/src/main/java/org/apache/yay/LogisticRegressionCostFunction.java Mon Jul 30 15:38:13 2012
@@ -60,7 +60,7 @@ public class LogisticRegressionCostFunct
Double res = 0d;
NeuralNetwork<Double, Double> neuralNetwork = NeuralNetworkFactory.create(
(Collection<TrainingExample<Double, Double>>) trainingExamples,
- parameters, new VoidLearningStrategy(), new FeedForwardStrategy(
+ parameters, new VoidLearningStrategy<Double, Double>(), new FeedForwardStrategy(
(ActivationFunction<Double>) hypothesis));
for (TrainingExample<Double, Double> input : trainingExamples) {
// TODO : handle this for multiple outputs (multi class classification)
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