You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@commons.apache.org by er...@apache.org on 2014/01/24 12:58:01 UTC
svn commit: r1560956 -
/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/ml/neuralnet/FeatureInitializerFactory.java
Author: erans
Date: Fri Jan 24 11:58:00 2014
New Revision: 1560956
URL: http://svn.apache.org/r1560956
Log:
Javadoc.
Modified:
commons/proper/math/trunk/src/main/java/org/apache/commons/math3/ml/neuralnet/FeatureInitializerFactory.java
Modified: commons/proper/math/trunk/src/main/java/org/apache/commons/math3/ml/neuralnet/FeatureInitializerFactory.java
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/ml/neuralnet/FeatureInitializerFactory.java?rev=1560956&r1=1560955&r2=1560956&view=diff
==============================================================================
--- commons/proper/math/trunk/src/main/java/org/apache/commons/math3/ml/neuralnet/FeatureInitializerFactory.java (original)
+++ commons/proper/math/trunk/src/main/java/org/apache/commons/math3/ml/neuralnet/FeatureInitializerFactory.java Fri Jan 24 11:58:00 2014
@@ -38,6 +38,8 @@ public class FeatureInitializerFactory {
*
* @param min Lower bound of the range.
* @param max Upper bound of the range.
+ * @param rng Random number generator used to draw samples from a
+ * uniform distribution.
* @return an initializer such that the features will be initialized with
* values within the given range.
* @throws org.apache.commons.math3.exception.NumberIsTooLargeException
@@ -55,8 +57,6 @@ public class FeatureInitializerFactory {
*
* @param min Lower bound of the range.
* @param max Upper bound of the range.
- * @param rng Random number generator used to draw samples from a
- * uniform distribution.
* @return an initializer such that the features will be initialized with
* values within the given range.
* @throws org.apache.commons.math3.exception.NumberIsTooLargeException