initial commit, nothing working

Ch02/EXTRAS/README.txt

@@ -0,0 +1,8 @@
+This folder contains the code used to create the plots in the examples.  
+The code is not very difficult, however I never meant for it to go out to readers. 
+ It�s not the cleanest code nor very well documented.  Most of the time I threw 
+together a dirty hack to make the plots look right, with no thoughts about 
+efficiency or readability.   I�m providing it as-is, if you have a question on 
+how it works or why I did something please ask, I will be more than happy to answer 
+any questions.  
+Peter Harrington

Ch02/EXTRAS/createDist.py

@@ -0,0 +1,65 @@
+'''
+Created on Oct 6, 2010
+
+@author: Peter
+'''
+from numpy import *
+import matplotlib
+import matplotlib.pyplot as plt
+from matplotlib.patches import Rectangle
+
+
+n = 1000 #number of points to create
+xcord = zeros((n))
+ycord = zeros((n))
+markers =[]
+colors =[]
+fw = open('testSet.txt','w')
+for i in range(n):
+    [r0,r1] = random.standard_normal(2)
+    myClass = random.uniform(0,1)
+    if (myClass <= 0.16):
+        fFlyer = random.uniform(22000, 60000)
+        tats = 3 + 1.6*r1
+        markers.append(20)
+        colors.append(2.1)
+        classLabel = 1 #'didntLike'
+        print ("%d, %f, class1") % (fFlyer, tats)
+    elif ((myClass > 0.16) and (myClass <= 0.33)):
+        fFlyer = 6000*r0 + 70000
+        tats = 10 + 3*r1 + 2*r0
+        markers.append(20)
+        colors.append(1.1)
+        classLabel = 1 #'didntLike'
+        print ("%d, %f, class1") % (fFlyer, tats)
+    elif ((myClass > 0.33) and (myClass <= 0.66)):
+        fFlyer = 5000*r0 + 10000
+        tats = 3 + 2.8*r1
+        markers.append(30)
+        colors.append(1.1)
+        classLabel = 2 #'smallDoses'
+        print ("%d, %f, class2") % (fFlyer, tats)
+    else:
+        fFlyer = 10000*r0 + 35000
+        tats = 10 + 2.0*r1
+        markers.append(50)
+        colors.append(0.1)
+        classLabel = 3 #'largeDoses'
+        print ("%d, %f, class3") % (fFlyer, tats)
+    if (tats < 0): tats =0
+    if (fFlyer < 0): fFlyer =0
+    xcord[i] = fFlyer; ycord[i]=tats
+    fw.write("%d\t%f\t%f\t%d\n" % (fFlyer, tats, random.uniform(0.0, 1.7), classLabel))
+
+fw.close()
+fig = plt.figure()
+ax = fig.add_subplot(111)
+ax.scatter(xcord,ycord, c=colors, s=markers)
+type1 = ax.scatter([-10], [-10], s=20, c='red')
+type2 = ax.scatter([-10], [-15], s=30, c='green')
+type3 = ax.scatter([-10], [-20], s=50, c='blue')
+ax.legend([type1, type2, type3], ["Class 1", "Class 2", "Class 3"], loc=2)
+#ax.axis([-5000,100000,-2,25])
+plt.xlabel('Frequent Flyier Miles Earned Per Year')
+plt.ylabel('Percentage of Body Covered By Tatoos')
+plt.show()

Ch02/EXTRAS/createDist2.py

@@ -0,0 +1,68 @@
+'''
+Created on Oct 6, 2010
+
+@author: Peter
+'''
+from numpy import *
+import matplotlib
+import matplotlib.pyplot as plt
+from matplotlib.patches import Rectangle
+
+
+n = 1000 #number of points to create
+xcord1 = []; ycord1 = []
+xcord2 = []; ycord2 = []
+xcord3 = []; ycord3 = []
+markers =[]
+colors =[]
+fw = open('testSet.txt','w')
+for i in range(n):
+    [r0,r1] = random.standard_normal(2)
+    myClass = random.uniform(0,1)
+    if (myClass <= 0.16):
+        fFlyer = random.uniform(22000, 60000)
+        tats = 3 + 1.6*r1
+        markers.append(20)
+        colors.append(2.1)
+        classLabel = 1 #'didntLike'
+        xcord1.append(fFlyer); ycord1.append(tats)
+    elif ((myClass > 0.16) and (myClass <= 0.33)):
+        fFlyer = 6000*r0 + 70000
+        tats = 10 + 3*r1 + 2*r0
+        markers.append(20)
+        colors.append(1.1)
+        classLabel = 1 #'didntLike'
+        if (tats < 0): tats =0
+        if (fFlyer < 0): fFlyer =0
+        xcord1.append(fFlyer); ycord1.append(tats)
+    elif ((myClass > 0.33) and (myClass <= 0.66)):
+        fFlyer = 5000*r0 + 10000
+        tats = 3 + 2.8*r1
+        markers.append(30)
+        colors.append(1.1)
+        classLabel = 2 #'smallDoses'
+        if (tats < 0): tats =0
+        if (fFlyer < 0): fFlyer =0
+        xcord2.append(fFlyer); ycord2.append(tats)
+    else:
+        fFlyer = 10000*r0 + 35000
+        tats = 10 + 2.0*r1
+        markers.append(50)
+        colors.append(0.1)
+        classLabel = 3 #'largeDoses'
+        if (tats < 0): tats =0
+        if (fFlyer < 0): fFlyer =0
+        xcord3.append(fFlyer); ycord3.append(tats)    
+
+fw.close()
+fig = plt.figure()
+ax = fig.add_subplot(111)
+#ax.scatter(xcord,ycord, c=colors, s=markers)
+type1 = ax.scatter(xcord1, ycord1, s=20, c='red')
+type2 = ax.scatter(xcord2, ycord2, s=30, c='green')
+type3 = ax.scatter(xcord3, ycord3, s=50, c='blue')
+ax.legend([type1, type2, type3], ["Did Not Like", "Liked in Small Doses", "Liked in Large Doses"], loc=2)
+ax.axis([-5000,100000,-2,25])
+plt.xlabel('Frequent Flyier Miles Earned Per Year')
+plt.ylabel('Percentage of Time Spent Playing Video Games')
+plt.show()

Ch02/EXTRAS/createFirstPlot.py

@@ -0,0 +1,18 @@
+'''
+Created on Oct 27, 2010
+
+@author: Peter
+'''
+from numpy import *
+import kNN
+import matplotlib
+import matplotlib.pyplot as plt
+fig = plt.figure()
+ax = fig.add_subplot(111)
+datingDataMat,datingLabels = kNN.file2matrix('datingTestSet.txt')
+#ax.scatter(datingDataMat[:,1], datingDataMat[:,2])
+ax.scatter(datingDataMat[:,1], datingDataMat[:,2], 15.0*array(datingLabels), 15.0*array(datingLabels))
+ax.axis([-2,25,-0.2,2.0])
+plt.xlabel('Percentage of Time Spent Playing Video Games')
+plt.ylabel('Liters of Ice Cream Consumed Per Week')
+plt.show()

Ch02/README.txt

@@ -0,0 +1,3 @@
+The code for the examples in Ch.2 is contained in the python module: kNN.py.
+The examples assume that datingTestSet.txt is in the current working directory.  
+Folders testDigits, and trainingDigits are assumed to be in this folder also.