if c.innerVariable.varType != orange.VarTypes.Discrete or \
c.outerVariable.varType != orange.VarTypes.Discrete:
raise "printTabDelimContingency can only handle discrete contingencies"
res = ""
for v in c.innerVariable.values:
res += "\t%s" % v
res += "\n"
for i in range(len(c.outerVariable.values)):
res += c.outerVariable.values[i]
for v in c[i]:
res += "\t%5.3f" % v
res += "\n"
return res
orange.setoutput(orange.Contingency, "tab", printTabDelimContingency)
data = orange.ExampleTable("monk1")
cont = orange.ContingencyAttrClass("e", data)
print "\n*** Dump in format 'tab' ***\n"
print cont.dump("tab")
orange.setoutput(orange.Contingency, "repr", printTabDelimContingency)
print "\n*** Print after 'repr' is set ***\n"
print cont
print "\n*** Reverse-quoting after 'repr' is set ***\n"
print `cont`
print "\n*** Print after 'str' is set ***\n"
outp += "%s\n" % i
else:
boundset = func.boundset()
for a in boundset:
outp += "%s\t" % a.name
outp += "%s\n" % func.classVar.name
outp += "------\t" * (len(boundset) + 1) + "\n"
lc = 0
if len(boundset) == 1:
cnt = orngMisc.LimitedCounter(
[len(x.values) + 1 for x in boundset])
else:
cnt = orngMisc.LimitedCounter([len(x.values) for x in boundset])
for ex in cnt:
for i in range(len(ex)):
if ex[i] < len(boundset[i].values):
outp += "%s\t" % boundset[i].values[ex[i]]
else:
outp += "?\t",
outp += "%s\n" % func.classVar.values[int(func.lookupTable[lc])]
lc += 1
return outp
for tpe in [
orange.ClassifierByLookupTable, orange.ClassifierByLookupTable2,
orange.ClassifierByLookupTable3, orange.ClassifierByExampleTable
]:
orange.setoutput(tpe, "tab", printLookupFunction)
if c.innerVariable.varType != orange.VarTypes.Discrete or \
c.outerVariable.varType != orange.VarTypes.Discrete:
raise Exception("printTabDelimContingency can only handle discrete contingencies")
res = ""
for v in c.innerVariable.values:
res += "\t%s" % v
res += "\n"
for i in range(len(c.outerVariable.values)):
res += c.outerVariable.values[i]
for v in c[i]:
res += "\t%5.3f" % v
res += "\n"
return res
orange.setoutput(orange.Contingency, "tab", printTabDelimContingency)
data = orange.ExampleTable("monk1")
cont = orange.ContingencyAttrClass("e", data)
print "\n*** Dump in format 'tab' ***\n"
print cont.dump("tab")
orange.setoutput(orange.Contingency, "repr", printTabDelimContingency)
print "\n*** Print after 'repr' is set ***\n"
print cont
print "\n*** Reverse-quoting after 'repr' is set ***\n"
print `cont`
print "\n*** Print after 'str' is set ***\n"
import orange
data = orange.ExampleTable("car")
classifier = orange.BayesLearner(data) # compute classification accuracy
def printTabDelimContingency(c):
print c
orange.setoutput(orange.BayesClassifier, "tab", printTabDelimContingency)
print classifier.dump('tab')
correct = 0.0
for ex in data:
if classifier(ex) == ex.getclass():
correct += 1
#print "Classification accuracy:", correct/len(data)
import orange
from Orange.classification.lookup import \
lookup_from_bound as lookupFromBound, \
lookup_from_function as lookupFromFunction, \
lookup_from_data as lookupFromExamples, \
dump_lookup_function as printLookupFunction
for tpe in [orange.ClassifierByLookupTable, orange.ClassifierByLookupTable2, orange.ClassifierByLookupTable3, orange.ClassifierByExampleTable]:
orange.setoutput(tpe, "tab", printLookupFunction)
