fss6.py

orange源码 数据挖掘技术

# Author:      B Zupan
# Version:     1.0
# Description: Same as fss5.py but uses FilterRelieff class from orngFSS
# Category:    preprocessing
# Uses:        adult_saple.tab
# Referenced:  orngFSS.htm

import orange, orngFSS
data = orange.ExampleTable("../datasets/adult_sample")

def report_relevance(data):
  m = orngFSS.attMeasure(data)
  for i in m:
    print "%5.3f %s" % (i[1], i[0])

print "Before feature subset selection (%d attributes):" % len(data.domain.attributes)
report_relevance(data)
data = orange.ExampleTable("../datasets/adult_sample")

marg = 0.01
filter = orngFSS.FilterRelief(margin=marg)
ndata = filter(data)
print "\nAfter feature subset selection with margin %5.3f (%d attributes):" % (marg, len(ndata.domain.attributes))
report_relevance(ndata)