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# Test methods with long descriptive names can omit docstrings
# pylint: disable=missing-docstring
import unittest
import numpy as np
from Orange.data import Table
from Orange.preprocess import Remove, discretize
from Orange.tests import test_filename
class TestRemover(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.test8 = Table(test_filename('datasets/test8.tab'))
def test_remove(self):
data = Table("iris")[:5]
attr_flags = sum([Remove.SortValues,
Remove.RemoveConstant,
Remove.RemoveUnusedValues])
class_flags = sum([Remove.SortValues,
Remove.RemoveConstant,
Remove.RemoveUnusedValues])
remover = Remove(attr_flags, class_flags)
new_data = remover(data)
attr_res, class_res = remover.attr_results, remover.class_results
self.assertEqual([a.name for a in new_data.domain.attributes],
["sepal length", "sepal width", "petal length"])
self.assertEqual([c.name for c in new_data.domain.class_vars], [])
self.assertDictEqual(attr_res,
{'removed': 1, 'reduced': 0, 'sorted': 0})
self.assertDictEqual(class_res,
{'removed': 1, 'reduced': 0, 'sorted': 0})
def test_remove_constant_attr(self):
data = self.test8
remover = Remove(Remove.RemoveConstant)
new_data = remover(data)
attr_res, class_res = remover.attr_results, remover.class_results
np.testing.assert_equal(new_data.X, np.hstack((data[:, 1],
data[:, 3])))
np.testing.assert_equal(new_data.Y, data.Y)
self.assertEqual([a.name for a in new_data.domain.attributes],
["c0", "d0"])
self.assertEqual([c.name for c in new_data.domain.class_vars],
["cl1", "cl0", "cl3", "cl4"])
self.assertEqual([a.values for a in new_data.domain.attributes
if a.is_discrete], [('4', '6')])
self.assertEqual([c.values for c in new_data.domain.class_vars
if c.is_discrete], [('1', '2', '3'), ('2', )])
self.assertDictEqual(attr_res,
{'removed': 2, 'reduced': 0, 'sorted': 0})
self.assertDictEqual(class_res,
{'removed': 0, 'reduced': 0, 'sorted': 0})
def test_remove_constant_class(self):
data = self.test8
remover = Remove(class_flags=Remove.RemoveConstant)
new_data = remover(data)
attr_res, class_res = remover.attr_results, remover.class_results
np.testing.assert_equal(new_data.X, data.X)
np.testing.assert_equal(new_data.Y, np.hstack((data[:, 4],
data[:, 5])))
self.assertEqual([a.name for a in new_data.domain.attributes],
["c1", "c0", "d1", "d0"])
self.assertEqual([c.name for c in new_data.domain.class_vars],
["cl1", "cl0"])
self.assertEqual([a.values for a in new_data.domain.attributes
if a.is_discrete], [('1', ), ('4', '6')])
self.assertEqual([c.values for c in new_data.domain.class_vars
if c.is_discrete], [('1', '2', '3')])
self.assertDictEqual(attr_res,
{'removed': 0, 'reduced': 0, 'sorted': 0})
self.assertDictEqual(class_res,
{'removed': 2, 'reduced': 0, 'sorted': 0})
def test_remove_unused_values_attr(self):
data = self.test8
data = data[1:]
remover = Remove(Remove.RemoveUnusedValues)
new_data = remover(data)
attr_res, class_res = remover.attr_results, remover.class_results
np.testing.assert_equal(new_data.X, data.X)
np.testing.assert_equal(new_data.Y, data.Y)
self.assertEqual([a.name for a in new_data.domain.attributes],
["c1", "c0", "d1", "d0"])
self.assertEqual([c.name for c in new_data.domain.class_vars],
["cl1", "cl0", "cl3", "cl4"])
self.assertEqual([a.values for a in new_data.domain.attributes
if a.is_discrete], [('1', ), ('4', )])
self.assertEqual([c.values for c in new_data.domain.class_vars
if c.is_discrete], [('1', '2', '3'), ('2', )])
self.assertDictEqual(attr_res,
{'removed': 0, 'reduced': 1, 'sorted': 0})
self.assertDictEqual(class_res,
{'removed': 0, 'reduced': 0, 'sorted': 0})
def test_remove_unused_values_class(self):
data = self.test8
data = data[:2]
remover = Remove(class_flags=Remove.RemoveUnusedValues)
new_data = remover(data)
attr_res, class_res = remover.attr_results, remover.class_results
for i in range(len(data)):
for j in range(len(data[i])):
self.assertEqual(new_data[i, j], data[i, j])
self.assertEqual([a.name for a in new_data.domain.attributes],
["c1", "c0", "d1", "d0"])
self.assertEqual([c.name for c in new_data.domain.class_vars],
["cl1", "cl0", "cl3", "cl4"])
self.assertEqual([a.values for a in new_data.domain.attributes
if a.is_discrete], [('1', ), ('4', '6')])
self.assertEqual([c.values for c in new_data.domain.class_vars
if c.is_discrete], [('2', '3'), ('2', )])
self.assertDictEqual(attr_res,
{'removed': 0, 'reduced': 0, 'sorted': 0})
self.assertDictEqual(class_res,
{'removed': 0, 'reduced': 1, 'sorted': 0})
def test_remove_unused_values_metas(self):
data = Table(test_filename("datasets/test9.tab"))
subset = data[:4]
res = Remove(attr_flags=Remove.RemoveUnusedValues,
meta_flags=Remove.RemoveUnusedValues)(subset)
self.assertEqual(res.domain["b"].values, res.domain["c"].values)
self.assertEqual(res.domain["d"].values, ("1", "2"))
self.assertEqual(res.domain["f"].values, ('1', 'hey'))
def test_remove_unused_values_attr_sparse(self):
data = self.test8
data = data[1:].to_sparse()
remover = Remove(Remove.RemoveUnusedValues)
new_data = remover(data)
attr_res = remover.attr_results
self.assertEqual((new_data.X != data.X).nnz, 0)
self.assertEqual([a.values for a in new_data.domain.attributes
if a.is_discrete], [('1', ), ('4', )])
self.assertEqual([c.values for c in new_data.domain.class_vars
if c.is_discrete], [('1', '2', '3'), ('2', )])
self.assertDictEqual(attr_res,
{'removed': 0, 'reduced': 1, 'sorted': 0})
def test_remove_mapping(self):
data = Table("iris")
x = np.vstack((data.X[:50], data.X[100:]))
y = np.hstack((data.Y[:50], data.Y[100:]))
data = Table.from_numpy(data.domain, x, y)
remover = Remove(class_flags=Remove.RemoveUnusedValues)
cleaned = remover(data)
np.testing.assert_array_equal(cleaned.Y[:50], 0)
np.testing.assert_array_equal(cleaned.Y[50:], 1)
def test_remove_mapping_after_compute_value(self):
housing = Table("housing")
method = discretize.EqualFreq(n=3)
discretizer = discretize.DomainDiscretizer(
discretize_class=True, method=method)
domain = discretizer(housing)
data = housing.transform(domain)
val12 = np.nonzero(data.Y > 0)[0]
data = data[val12]
remover = Remove(class_flags=Remove.RemoveUnusedValues)
cleaned = remover(data)
np.testing.assert_equal(cleaned.Y, data.Y - 1)
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