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import unittest
from unittest import TestCase
import numpy as np
from sklearn.datasets import load_iris
from lime.discretize import QuartileDiscretizer, DecileDiscretizer, EntropyDiscretizer
class TestDiscretize(TestCase):
def setUp(self):
iris = load_iris()
self.feature_names = iris.feature_names
self.x = iris.data
self.y = iris.target
def check_random_state_for_discretizer_class(self, DiscretizerClass):
# ----------------------------------------------------------------------
# -----------Check if the same random_state produces the same-----------
# -------------results for different discretizer instances.-------------
# ----------------------------------------------------------------------
discretizer = DiscretizerClass(self.x, [], self.feature_names, self.y,
random_state=10)
x_1 = discretizer.undiscretize(discretizer.discretize(self.x))
discretizer = DiscretizerClass(self.x, [], self.feature_names, self.y,
random_state=10)
x_2 = discretizer.undiscretize(discretizer.discretize(self.x))
self.assertEqual((x_1 == x_2).sum(), x_1.shape[0] * x_1.shape[1])
discretizer = DiscretizerClass(self.x, [], self.feature_names, self.y,
random_state=np.random.RandomState(10))
x_1 = discretizer.undiscretize(discretizer.discretize(self.x))
discretizer = DiscretizerClass(self.x, [], self.feature_names, self.y,
random_state=np.random.RandomState(10))
x_2 = discretizer.undiscretize(discretizer.discretize(self.x))
self.assertEqual((x_1 == x_2).sum(), x_1.shape[0] * x_1.shape[1])
# ----------------------------------------------------------------------
# ---------Check if two different random_state values produces----------
# -------different results for different discretizers instances.--------
# ----------------------------------------------------------------------
discretizer = DiscretizerClass(self.x, [], self.feature_names, self.y,
random_state=10)
x_1 = discretizer.undiscretize(discretizer.discretize(self.x))
discretizer = DiscretizerClass(self.x, [], self.feature_names, self.y,
random_state=20)
x_2 = discretizer.undiscretize(discretizer.discretize(self.x))
self.assertFalse((x_1 == x_2).sum() == x_1.shape[0] * x_1.shape[1])
discretizer = DiscretizerClass(self.x, [], self.feature_names, self.y,
random_state=np.random.RandomState(10))
x_1 = discretizer.undiscretize(discretizer.discretize(self.x))
discretizer = DiscretizerClass(self.x, [], self.feature_names, self.y,
random_state=np.random.RandomState(20))
x_2 = discretizer.undiscretize(discretizer.discretize(self.x))
self.assertFalse((x_1 == x_2).sum() == x_1.shape[0] * x_1.shape[1])
def test_random_state(self):
self.check_random_state_for_discretizer_class(QuartileDiscretizer)
self.check_random_state_for_discretizer_class(DecileDiscretizer)
self.check_random_state_for_discretizer_class(EntropyDiscretizer)
def test_feature_names_1(self):
self.maxDiff = None
discretizer = QuartileDiscretizer(self.x, [], self.feature_names,
self.y, random_state=10)
self.assertDictEqual(
{0: ['sepal length (cm) <= 5.10',
'5.10 < sepal length (cm) <= 5.80',
'5.80 < sepal length (cm) <= 6.40',
'sepal length (cm) > 6.40'],
1: ['sepal width (cm) <= 2.80',
'2.80 < sepal width (cm) <= 3.00',
'3.00 < sepal width (cm) <= 3.30',
'sepal width (cm) > 3.30'],
2: ['petal length (cm) <= 1.60',
'1.60 < petal length (cm) <= 4.35',
'4.35 < petal length (cm) <= 5.10',
'petal length (cm) > 5.10'],
3: ['petal width (cm) <= 0.30',
'0.30 < petal width (cm) <= 1.30',
'1.30 < petal width (cm) <= 1.80',
'petal width (cm) > 1.80']},
discretizer.names)
def test_feature_names_2(self):
self.maxDiff = None
discretizer = DecileDiscretizer(self.x, [], self.feature_names, self.y,
random_state=10)
self.assertDictEqual(
{0: ['sepal length (cm) <= 4.80',
'4.80 < sepal length (cm) <= 5.00',
'5.00 < sepal length (cm) <= 5.27',
'5.27 < sepal length (cm) <= 5.60',
'5.60 < sepal length (cm) <= 5.80',
'5.80 < sepal length (cm) <= 6.10',
'6.10 < sepal length (cm) <= 6.30',
'6.30 < sepal length (cm) <= 6.52',
'6.52 < sepal length (cm) <= 6.90',
'sepal length (cm) > 6.90'],
1: ['sepal width (cm) <= 2.50',
'2.50 < sepal width (cm) <= 2.70',
'2.70 < sepal width (cm) <= 2.80',
'2.80 < sepal width (cm) <= 3.00',
'3.00 < sepal width (cm) <= 3.10',
'3.10 < sepal width (cm) <= 3.20',
'3.20 < sepal width (cm) <= 3.40',
'3.40 < sepal width (cm) <= 3.61',
'sepal width (cm) > 3.61'],
2: ['petal length (cm) <= 1.40',
'1.40 < petal length (cm) <= 1.50',
'1.50 < petal length (cm) <= 1.70',
'1.70 < petal length (cm) <= 3.90',
'3.90 < petal length (cm) <= 4.35',
'4.35 < petal length (cm) <= 4.64',
'4.64 < petal length (cm) <= 5.00',
'5.00 < petal length (cm) <= 5.32',
'5.32 < petal length (cm) <= 5.80',
'petal length (cm) > 5.80'],
3: ['petal width (cm) <= 0.20',
'0.20 < petal width (cm) <= 0.40',
'0.40 < petal width (cm) <= 1.16',
'1.16 < petal width (cm) <= 1.30',
'1.30 < petal width (cm) <= 1.50',
'1.50 < petal width (cm) <= 1.80',
'1.80 < petal width (cm) <= 1.90',
'1.90 < petal width (cm) <= 2.20',
'petal width (cm) > 2.20']},
discretizer.names)
def test_feature_names_3(self):
self.maxDiff = None
discretizer = EntropyDiscretizer(self.x, [], self.feature_names,
self.y, random_state=10)
self.assertDictEqual(
{0: ['sepal length (cm) <= 4.85',
'4.85 < sepal length (cm) <= 5.45',
'5.45 < sepal length (cm) <= 5.55',
'5.55 < sepal length (cm) <= 5.85',
'5.85 < sepal length (cm) <= 6.15',
'6.15 < sepal length (cm) <= 7.05',
'sepal length (cm) > 7.05'],
1: ['sepal width (cm) <= 2.45',
'2.45 < sepal width (cm) <= 2.95',
'2.95 < sepal width (cm) <= 3.05',
'3.05 < sepal width (cm) <= 3.35',
'3.35 < sepal width (cm) <= 3.45',
'3.45 < sepal width (cm) <= 3.55',
'sepal width (cm) > 3.55'],
2: ['petal length (cm) <= 2.45',
'2.45 < petal length (cm) <= 4.45',
'4.45 < petal length (cm) <= 4.75',
'4.75 < petal length (cm) <= 5.15',
'petal length (cm) > 5.15'],
3: ['petal width (cm) <= 0.80',
'0.80 < petal width (cm) <= 1.35',
'1.35 < petal width (cm) <= 1.75',
'1.75 < petal width (cm) <= 1.85',
'petal width (cm) > 1.85']},
discretizer.names)
if __name__ == '__main__':
unittest.main()
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