更新 15章 代码新格式

src/python/15.BigData_MapReduce/proximalSVM.py

@@ -1,7 +1,10 @@
+#!/usr/bin/python
+# coding:utf8
 '''
-Created on Feb 25, 2011
-
-@author: Peter
+Created on 2011-02-25
+Update  on 2017-06-20
+@author: Peter/ApacheCN-xy/片刻
+《机器学习实战》更新地址：https://github.com/apachecn/MachineLearning
 '''
 import numpy
 
@@ -9,28 +12,28 @@ def map(key, value):
    # input key= class for one training example, e.g. "-1.0"
    classes = [float(item) for item in key.split(",")]   # e.g. [-1.0]
    D = numpy.diag(classes)
- 
+
    # input value = feature vector for one training example, e.g. "3.0, 7.0, 2.0"
    featurematrix = [float(item) for item in value.split(",")]
    A = numpy.matrix(featurematrix)
- 
+
    # create matrix E and vector e
-   e = numpy.matrix(numpy.ones(len(A)).reshape(len(A),1))
-   E = numpy.matrix(numpy.append(A,-e,axis=1)) 
- 
+   e = numpy.matrix(numpy.ones(len(A)).reshape(len(A), 1))
+   E = numpy.matrix(numpy.append(A, -e, axis=1)) 
+
    # create a tuple with the values to be used by reducer
    # and encode it with base64 to avoid potential trouble with '\t' and '\n' used
    # as default separators in Hadoop Streaming
-   producedvalue = base64.b64encode(pickle.dumps( (E.T*E, E.T*D*e) )    
- 
+   producedvalue = base64.b64encode(pickle.dumps( (E.T*E, E.T*D*e))    
+
    # note: a single constant key "producedkey" sends to only one reducer
    # somewhat "atypical" due to low degree of parallism on reducer side
    print "producedkey\t%s" % (producedvalue)
-   
+
 def reduce(key, values, mu=0.1):
   sumETE = None
   sumETDe = None
- 
+
   # key isn't used, so ignoring it with _ (underscore).
   for _, value in values:
     # unpickle values
@@ -39,13 +42,13 @@ def reduce(key, values, mu=0.1):
       # create the I/mu with correct dimensions
       sumETE = numpy.matrix(numpy.eye(ETE.shape[1])/mu)
     sumETE += ETE
- 
+
     if sumETDe == None:
       # create sumETDe with correct dimensions
       sumETDe = ETDe
     else:
       sumETDe += ETDe
- 
+
     # note: omega = result[:-1] and gamma = result[-1]
     # but printing entire vector as output
     result = sumETE.I*sumETDe