#
# Stephan Schulz (I4)
# Technische Universitaet Muenchen
# Institut fuer Informatik
# Boltzmannstrasse 3
# Garching bei Muenchen
# Germany
#
# or via email (address above).
import sys
import string
import pylib_io
import pylib_eprots
pylib_io.check_argc(2)
cl = pylib_eprots.classification()
cl.parse(sys.argv[1])
fl = pylib_eprots.featurelist()
fl.parse(sys.argv[2])
for i in fl:
try:
tclass = cl.classify(i[0])
print i[0], ":", string.join(i[1], ","), ":", tclass
except KeyError:
pass
import sys
import re
import string
import pylib_io
def id(string):
return string
def firstfield(str):
parts = string.split(str)
if(len(parts)>0):
return parts[0]
return ""
def without(file_source, file_remove, abstract_fun):
source = {}
lines = file_remove.readlines()
for line in lines:
source[abstract_fun(line)] = 1;
lines = file_source.readlines()
for line in lines:
if(not (abstract_fun(line) in source)):
sys.stdout.write(line)
pylib_io.check_argc(2)
file_source = pylib_io.flexopen(sys.argv[1], "r")
file_remove = pylib_io.flexopen(sys.argv[2], "r")
without(file_source, file_remove, id)
if o[0:2] == "-x":
try:
crossval = int(float(o[2:]))
except ValueError:
crossval = 10
if o[0:2] == "-X":
try:
crossval = int(float(o[2:]))
except ValueError:
crossval = 10
stratified = False
if o=="-v":
pylib_basics.globals.verbose = True
if o=="-c":
classify = True
pylib_io.check_argc(2,args)
if o=="-e":
eval_tree = True
if o=="-n":
printtree = False
if o=="-h":
print __doc__
sys.exit()
if o[0:2] == "-S":
seed = long(o[2:])
pylib_io.check_argc(1,None,args)
set = pylib_ml_examples.ml_exampleset()
set.parse(args[0])
if o[0:2] == "-x":
try:
crossval = int(float(o[2:]))
except ValueError:
crossval = 10
if o[0:2] == "-X":
try:
crossval = int(float(o[2:]))
except ValueError:
crossval = 10
stratified = False
if o=="-v":
pylib_basics.globals.verbose = True
if o=="-c":
classify = True
pylib_io.check_argc(2,args)
if o=="-e":
eval_tree = True
if o=="-n":
printtree = False
if o=="-h":
print __doc__
sys.exit()
if o[0:2] == "-S":
seed = long(o[2:])
pylib_io.check_argc(1,None,args)
set = pylib_ml_examples.ml_exampleset()
set.parse(args[0])
