1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
|
# Test methods with long descriptive names can omit docstrings
# pylint: disable=missing-docstring
import unittest
from Orange.data import Table, Variable
from Orange.preprocess.continuize import DomainContinuizer
from Orange.preprocess import Continuize
from Orange.preprocess import transformation
from Orange.tests import test_filename
class TestDomainContinuizer(unittest.TestCase):
def setUp(self):
self.data = Table(test_filename("datasets/test4"))
def test_default(self):
for inp in (self.data, self.data.domain):
dom = DomainContinuizer()
dom = dom(inp)
self.assertTrue(all(attr.is_continuous
for attr in dom.attributes))
self.assertIs(dom.class_var, self.data.domain.class_var)
self.assertIs(dom[0], self.data.domain[0])
self.assertIs(dom[1], self.data.domain[1])
self.assertEqual([attr.name for attr in dom.attributes],
["c1", "c2", "d2=a", "d2=b", "d3=a", "d3=b", "d3=c"])
self.assertIsInstance(dom[2].compute_value, transformation.Indicator)
dat2 = self.data.transform(dom)
# c1 c2 d2 d3 cl1
self.assertEqual(dat2[0], [1, -2, 1, 0, 1, 0, 0, "a"])
self.assertEqual(dat2[1], [0, 0, 0, 1, 0, 1, 0, "b"])
self.assertEqual(dat2[2], [2, 2, 0, 1, 0, 0, 1, "c"])
def test_continuous_transform_class(self):
for inp in (self.data, self.data.domain):
dom = DomainContinuizer(transform_class=True)
dom = dom(inp)
self.assertTrue(all(attr.is_continuous
for attr in dom.variables))
self.assertIsNot(dom.class_var, self.data.domain.class_var)
self.assertIs(dom[0], self.data.domain[0])
self.assertIs(dom[1], self.data.domain[1])
self.assertEqual([attr.name for attr in dom.attributes],
["c1", "c2", "d2=a", "d2=b", "d3=a", "d3=b", "d3=c"])
self.assertIsInstance(dom[2].compute_value, transformation.Indicator)
dat2 = self.data.transform(dom)
# c1 c2 d2 d3 cl1
self.assertEqual(dat2[0], [1, -2, 1, 0, 1, 0, 0, 1, 0, 0])
self.assertEqual(dat2[1], [0, 0, 0, 1, 0, 1, 0, 0, 1, 0])
self.assertEqual(dat2[2], [2, 2, 0, 1, 0, 0, 1, 0, 0, 1])
def test_multi_indicators(self):
for inp in (self.data, self.data.domain):
dom = DomainContinuizer(multinomial_treatment=Continuize.Indicators)
dom = dom(inp)
self.assertTrue(all(attr.is_continuous
for attr in dom.attributes))
self.assertIs(dom.class_var, self.data.domain.class_var)
self.assertIs(dom[0], self.data.domain[0])
self.assertIs(dom[1], self.data.domain[1])
self.assertEqual([attr.name for attr in dom.attributes],
["c1", "c2", "d2=a", "d2=b", "d3=a", "d3=b",
"d3=c"])
self.assertIsInstance(dom[2].compute_value,
transformation.Indicator)
dat2 = self.data.transform(dom)
# c1 c2 d2 d3 cl1
self.assertEqual(dat2[0], [1, -2, 1, 0, 1, 0, 0, "a"])
self.assertEqual(dat2[1], [0, 0, 0, 1, 0, 1, 0, "b"])
self.assertEqual(dat2[2], [2, 2, 0, 1, 0, 0, 1, "c"])
def test_multi_lowest_base(self):
for inp in (self.data, self.data.domain):
dom = DomainContinuizer(multinomial_treatment=Continuize.FirstAsBase)
dom = dom(inp)
self.assertTrue(all(attr.is_continuous
for attr in dom.attributes))
self.assertIs(dom.class_var, self.data.domain.class_var)
self.assertIs(dom[0], self.data.domain[0])
self.assertIs(dom[1], self.data.domain[1])
self.assertEqual([attr.name for attr in dom.attributes],
["c1", "c2", "d2=b", "d3=b", "d3=c"])
self.assertIsInstance(dom[2].compute_value,
transformation.Indicator)
dat2 = self.data.transform(dom)
# c1 c2 d2 d3 cl1
self.assertEqual(dat2[0], [1, -2, 0, 0, 0, "a"])
self.assertEqual(dat2[1], [0, 0, 1, 1, 0, "b"])
self.assertEqual(dat2[2], [2, 2, 1, 0, 1, "c"])
def test_multi_ignore(self):
dom = DomainContinuizer(multinomial_treatment=Continuize.Remove)
dom = dom(self.data.domain)
self.assertTrue(all(attr.is_continuous
for attr in dom.attributes))
self.assertEqual([attr.name for attr in dom.attributes],
["c1", "c2"])
def test_multi_ignore_class(self):
dom = DomainContinuizer(multinomial_treatment=Continuize.Remove,
transform_class=True)
dom = dom(self.data.domain)
self.assertTrue(all(attr.is_continuous
for attr in dom.attributes))
self.assertEqual([attr.name for attr in dom.attributes],
["c1", "c2"])
self.assertEqual(len(dom.class_vars), 0)
self.assertIsNone(dom.class_var)
def test_multi_ignore_multi(self):
dom = DomainContinuizer(
multinomial_treatment=Continuize.RemoveMultinomial)
dom = dom(self.data.domain)
self.assertTrue(all(attr.is_continuous
for attr in dom.attributes))
self.assertEqual([attr.name for attr in dom.variables],
["c1", "c2", "d2=b", "cl1"])
def test_multi_ignore_class(self):
dom = DomainContinuizer(
multinomial_treatment=Continuize.RemoveMultinomial,
transform_class=True)
dom = dom(self.data.domain)
self.assertTrue(all(attr.is_continuous
for attr in dom.attributes))
self.assertEqual([attr.name for attr in dom.attributes],
["c1", "c2", "d2=b"])
self.assertEqual(len(dom.class_vars), 0)
self.assertIsNone(dom.class_var)
def test_multi_error(self):
self.assertRaises(ValueError,
DomainContinuizer(
multinomial_treatment=Continuize.ReportError),
self.data.domain)
def test_as_ordinal(self):
for inp in (self.data, self.data.domain):
dom = DomainContinuizer(multinomial_treatment=Continuize.AsOrdinal)
dom = dom(inp)
self.assertTrue(all(attr.is_continuous
for attr in dom.attributes))
self.assertIs(dom.class_var, self.data.domain.class_var)
self.assertIs(dom[0], self.data.domain[0])
self.assertIs(dom[1], self.data.domain[1])
self.assertEqual([attr.name for attr in dom.variables],
["c1", "c2", "d2", "d3", "cl1"])
dat2 = self.data.transform(dom)
# c1 c2 d2 d3 cl1
self.assertEqual(dat2[0], [1, -2, 0, 0, "a"])
self.assertEqual(dat2[1], [0, 0, 1, 1, "b"])
self.assertEqual(dat2[2], [2, 2, 1, 2, "c"])
def test_as_ordinal_class(self):
for inp in (self.data, self.data.domain):
dom = DomainContinuizer(multinomial_treatment=Continuize.AsOrdinal,
transform_class=True)
dom = dom(inp)
self.assertTrue(all(attr.is_continuous
for attr in dom.attributes))
self.assertTrue(dom.has_continuous_class)
self.assertIs(dom[0], self.data.domain[0])
self.assertIs(dom[1], self.data.domain[1])
self.assertEqual([attr.name for attr in dom.variables],
["c1", "c2", "d2", "d3", "cl1"])
dat2 = self.data.transform(dom)
# c1 c2 d2 d3 cl1
self.assertEqual(dat2[0], [1, -2, 0, 0, 0])
self.assertEqual(dat2[1], [0, 0, 1, 1, 1])
self.assertEqual(dat2[2], [2, 2, 1, 2, 2])
def test_as_normalized_ordinal(self):
for inp in (self.data, self.data.domain):
dom = DomainContinuizer(multinomial_treatment=Continuize.AsNormalizedOrdinal)
dom = dom(inp)
self.assertTrue(all(attr.is_continuous
for attr in dom.attributes))
self.assertIs(dom.class_var, self.data.domain.class_var)
self.assertIs(dom[0], self.data.domain[0])
self.assertIs(dom[1], self.data.domain[1])
self.assertEqual([attr.name for attr in dom.variables],
["c1", "c2", "d2", "d3", "cl1"])
dat2 = self.data.transform(dom)
# c1 c2 d2 d3 cl1
self.assertEqual(dat2[0], [1, -2, 0, 0, "a"])
self.assertEqual(dat2[1], [0, 0, 1, 0.5, "b"])
self.assertEqual(dat2[2], [2, 2, 1, 1, "c"])
|
