lambda average

Author: Lewuathe

.cache

@@ -36,7 +36,7 @@ object App {
     	val tfilename = "train" + i + ".csv"
     	val efilename = "estimate" + i + ".csv"
     	val train = DataReader.trainRead(tfilename)
-    	val wlist = LeastSquares.estimate(train, 10.0)
+    	val wlist = LeastSquares.estimate(train, 0.000000001)
     	val test  = DataReader.testRead("test.csv")
     	val estimate = new PrintWriter(efilename)
 

results/ave.png

@@ -7,15 +7,25 @@
 from pylab import *
 
 if __name__ == "__main__":
+    sumts = []
+    sumxs = []
+    for j in range(0, 500):
+        sumts.append(0)
+    
     for i in range(0, 19):
         estimate = open('estimate' + str(i) + '.csv', 'rb')
 
         estreader = csv.reader(estimate)
         estxs = []
         estts = []
+        k = 0
         for row in estreader:
             estxs.append(row[0])
             estts.append(row[1])
+            if len(sumxs) < 500:
+                sumxs.append(row[0])
+            sumts[k] = float(row[1]) + sumts[k]
+            k += 1
         estxs = array(estxs)
         estts = array(estts)
 
@@ -25,7 +35,15 @@
         xlim(0.0, 1.0)   
         ylim(-1.5, 1.5)
         estimate.close()
-        
+
+    for i in range(0, 500):
+        sumts[i] = sumts[i] / 20
+
+    sumts = array(sumts)
+    sumxs = array(sumxs)
+    print len(sumts)
+    print len(sumxs)
+    plot(sumxs, sumts, 'r|')
     show()