From fbd429f2d7afa11cb747fa48f62c5c8d0b5a19e0 Mon Sep 17 00:00:00 2001 From: Gilles Sadowski Date: Fri, 24 Jan 2014 11:58:00 +0000 Subject: [PATCH] Javadoc. git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1560956 13f79535-47bb-0310-9956-ffa450edef68 --- .../commons/math3/ml/neuralnet/FeatureInitializerFactory.java | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/main/java/org/apache/commons/math3/ml/neuralnet/FeatureInitializerFactory.java b/src/main/java/org/apache/commons/math3/ml/neuralnet/FeatureInitializerFactory.java index fd1dd80b1..32fd235b9 100644 --- a/src/main/java/org/apache/commons/math3/ml/neuralnet/FeatureInitializerFactory.java +++ b/src/main/java/org/apache/commons/math3/ml/neuralnet/FeatureInitializerFactory.java @@ -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