def test_dump(self):
"""Test for dump() failing (OverflowError: math range error on math.exp)
on classifiers with high beta"""
quality = Orange.feature.Discrete("quality")
quality.add_value("low")
quality.add_value("high")
price = Orange.feature.Continuous("price")
variables = [price, quality]
matrix = [[0.01, "high"], [0.001, "low"]]
domain = Orange.data.Domain(variables)
data = Orange.data.Table(domain, matrix)
classifier = LogRegLearner(data)
text_dump = dump(classifier)
def test_dump(self):
"""Test for dump() failing (OverflowError: math range error on math.exp)
on classifiers with high beta"""
quality = Orange.feature.Discrete('quality')
quality.add_value('low')
quality.add_value('high')
price = Orange.feature.Continuous('price')
variables = [price, quality]
matrix = [[0.01, 'high'], [0.001, 'low']]
domain = Orange.data.Domain(variables)
data = Orange.data.Table(domain, matrix)
classifier = LogRegLearner(data)
text_dump = dump(classifier)
from Orange.classification import logreg
import cPickle as pickle
f = open('classifier.clsf')
classifier = pickle.load(f)
f.close()
textfilename = "classifier.dump.txt"
f = open(textfilename, "w")
f.write(logreg.dump(classifier))
f.close()
def printOUT(*a, **b):
print dump(*a, **b)
