svn commit: r1395607 - /hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/GradientDescentBSP.java

[tommaso]

Author: tommaso
Date: Mon Oct  8 15:17:50 2012
New Revision: 1395607

URL: http://svn.apache.org/viewvc?rev=1395607&view=rev
Log:
[HAMA-651] - fixed typos and constant abstractions

Modified:
    
hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/GradientDescentBSP.java

Modified: 
hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/GradientDescentBSP.java
URL: 
http://svn.apache.org/viewvc/hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/GradientDescentBSP.java?rev=1395607&r1=1395606&r2=1395607&view=diff
==============================================================================
--- 
hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/GradientDescentBSP.java
 (original)
+++ 
hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/GradientDescentBSP.java
 Mon Oct  8 15:17:50 2012
@@ -38,6 +38,8 @@ public class GradientDescentBSP extends 
   private static final Logger log = 
LoggerFactory.getLogger(GradientDescentBSP.class);
   static final String INITIAL_THETA_VALUES = "initial.theta.values";
   static final String ALPHA = "alpha";
+  static final String THRESHOLD = "threshold";
+  static final String REGRESSION_MODEL_CLASS = "regression.model.class";
 
   private boolean master;
   private DoubleVector theta;
@@ -50,10 +52,10 @@ public class GradientDescentBSP extends 
   public void setup(BSPPeer<VectorWritable, DoubleWritable, VectorWritable, 
DoubleWritable, VectorWritable> peer) throws IOException, SyncException, 
InterruptedException {
     master = peer.getPeerIndex() == peer.getNumPeers() / 2;
     cost = Integer.MAX_VALUE;
-    threshold = peer.getConfiguration().getFloat("threashold", 0.01f);
+    threshold = peer.getConfiguration().getFloat(THRESHOLD, 0.01f);
     alpha = peer.getConfiguration().getFloat(ALPHA, 0.3f);
     try {
-      regressionModel = ((Class<? extends 
RegressionModel>)peer.getConfiguration().getClass("regression.model", 
LinearRegressionModel.class)).newInstance();
+      regressionModel = ((Class<? extends 
RegressionModel>)peer.getConfiguration().getClass(REGRESSION_MODEL_CLASS, 
LinearRegressionModel.class)).newInstance();
     } catch (Exception e) {
       throw new IOException(e);
     }