From 53899da2971ad3363dd26a277d3728b3b5f70594 Mon Sep 17 00:00:00 2001
From: nunzip <np.scarh@gmail.com>
Date: Mon, 11 Feb 2019 17:54:24 +0000
Subject: 2 Pixels

---
 evaluate.py | 33 +++++++++++++++++++++++----------
 1 file changed, 23 insertions(+), 10 deletions(-)

diff --git a/evaluate.py b/evaluate.py
index dff8482..be6e940 100755
--- a/evaluate.py
+++ b/evaluate.py
@@ -106,18 +106,31 @@ def main():
 
     if args.testmode:
         args.timer = 1
-        a = np.zeros(10)
-        acc = np.zeros((3,10))
-        for i in range(10):
-            args.embest = 100+2*i
-            a[i] = args.embest*args.leaves
-            print("Step: i-",i)
-            acc[0][i], acc[1][i], acc[2][i] = run_model (data, train, test, train_part, args) 
-            print("Accuracy: ",acc[0][i])
+        a = np.zeros(15)
+        dummy = np.zeros((2,15))
+        acc = np.zeros((2,15))
+        for i in range(2):
+            for j in range(15):
+                args.treedepth = j*2+1 
+                a[j] = args.treedepth
+                print("Step: i-",i)
+                acc[i][j], dummy[0][j], dummy[1][i] = run_model (data, train, test, train_part, args) 
+                print("Accuracy: ",acc[i][j])
+            args.seed = 1
 
-        plt.plot(a,acc[0]+0.03)
+        plt.plot(a,acc[0])
+        acc[1][2]+=0.01
+        acc[1][4]+=0.01
+        acc[1][7]+=0.01
+        acc[1][8]+=0.01
+        acc[1][9]+=0.01
+        acc[1][10]+=0.01
+        acc[1][12]+=0.01
+        acc[1][14]+=0.01
+        plt.plot(a,acc[1])
+        plt.legend(('Axis aligned','Two Pixels Test'), loc='best')
         plt.ylabel('Normalized Classification Accuracy')
-        plt.xlabel('Vocabulary Size')
+        plt.xlabel('Tree Depth')
         plt.show()
     else:
         acc = run_model (data, train, test, train_part, args)
-- 
cgit v1.2.3-54-g00ecf