def lookupFromExamples(examples, weight = 0, learnerForUnknown = None):
if len(examples.domain.attributes) <= 3:
lookup = lookupFromBound(examples.domain.classVar, examples.domain.attributes)
lookupTable = lookup.lookupTable
for example in examples:
ind = lookup.getindex(example)
if not lookupTable[ind].isSpecial() and (lookupTable[ind] != example.getclass()):
break
lookupTable[ind] = example.getclass()
else:
return lookup
# there are ambiguities; a backup plan is ClassifierByExampleTable, let it deal with them
return orange.LookupLearner(examples, weight, learnerForUnknown = learnerForUnknown)
else:
return orange.LookupLearner(examples, weight, learnerForUnknown = learnerForUnknown)
def lookupFromFunction(attribute, bound, function):
"""
Constructs ClassifierByExampleTable or ClassifierByLookupTable mirroring the given function
"""
lookup = lookupFromBound(attribute, bound)
if lookup:
lookup.lookupTable = [orange.Value(attribute, function(attributes)) for attributes in orngMisc.LimitedCounter([len(attr.values) for attr in bound])]
return lookup
else:
examples = orange.ExampleTable(orange.Domain(bound, attribute))
for attributes in orngMisc.LimitedCounter([len(attr.values) for attr in dom.attributes]):
examples.append(orange.Example(dom, attributes + [function(attributes)]))
return orange.LookupLearner(examples)
def lookup_learner(input_dict):
import orange
output_dict = {}
output_dict['lookupout'] = orange.LookupLearner(
name="Lookup Classifier (Orange)")
return output_dict
# Description: Shows how to construct an orange.ClassifierFromExampleTable
# Category: classification, lookup classifiers, constructive induction, feature construction
# Classes: ClassifierByExampleTable, LookupLearner
# Uses: monk1
# Referenced: lookup.htm
import orange
data = orange.ExampleTable("monk1")
a, b, e = data.domain["a"], data.domain["b"], data.domain["e"]
data_s = data.select([a, b, e, data.domain.classVar])
abe = orange.LookupLearner(data_s)
print len(data_s)
print len(abe.sortedExamples)
for i in abe.sortedExamples[:10]:
print i
print
for i in abe.sortedExamples[:10]:
print i, i.getclass().svalue
print
y2 = orange.EnumVariable("y2", values=["0", "1"])
abe2 = orange.LookupLearner(y2, [a, b, e], data)
for i in abe2.sortedExamples[:10]:
print i, i.getclass().svalue
print