def test_reprable(self):
from Orange.data import ContinuousVariable
from Orange.preprocess.impute import ReplaceUnknownsRandom
from Orange.statistics.distribution import Continuous
var = ContinuousVariable('x')
transform = ReplaceUnknownsRandom(var, Continuous(1, var))
self.assertEqual(repr(transform).replace('\n ', ' '),
"ReplaceUnknownsRandom("
"variable=ContinuousVariable(name='x', number_of_decimals=3), "
"distribution=Continuous([[ 0.], [ 0.]]))")
def test_reprable(self):
from Orange.data import ContinuousVariable
from Orange.preprocess.impute import ReplaceUnknownsRandom
from Orange.statistics.distribution import Continuous
from Orange.classification import LogisticRegressionLearner
var = ContinuousVariable('x')
transform = ReplaceUnknownsRandom(var, Continuous(1, var))
self.assertEqual(repr(transform).replace('\n', '').replace(' ', ''),
"ReplaceUnknownsRandom("
"variable=ContinuousVariable(name='x',number_of_decimals=3),"
"distribution=Continuous([[0.],[0.]]))")
# GH 2275
logit = LogisticRegressionLearner()
for _ in range(2):
self.assertEqual(repr(logit), 'LogisticRegressionLearner()')