def setUp(self):
self.minicolumn = Minicolumn(
space_size=5,
in_random_bits=1,
out_random_bits=1,
in_dimensions=1,
out_dimensions=1,
code_alignment=1,
in_code_activate=0,
class_point=PointNoneMock
)
self.minicolumn_zeros = Minicolumn(
space_size=5,
in_random_bits=3,
out_random_bits=3,
in_dimensions=3,
out_dimensions=3,
code_alignment=2,
seed=42,
in_code_activate=0,
class_point=PointZerosMock
)
self.minicolumn_controversy_out = Minicolumn(
space_size=5,
in_random_bits=4,
out_random_bits=8,
in_dimensions=4,
out_dimensions=8,
code_alignment=4,
seed=42,
controversy=2,
class_point=PointEmptyMock
)
self.minicolumn_controversy_in = Minicolumn(
space_size=200,
in_random_bits=4,
out_random_bits=8,
in_dimensions=4,
out_dimensions=8,
code_alignment=2,
seed=42,
controversy=0.2,
in_code_activate=0,
class_point=PointControversyInMock
)
self.minicolumn_code_alignment = Minicolumn(
space_size=5,
in_random_bits=4,
out_random_bits=8,
in_dimensions=4,
out_dimensions=8,
code_alignment=4,
seed=42,
controversy=0.1,
in_code_activate=0,
min_active_points=0,
class_point=PointCodeAligmentMock
)
def setUp(self):
self.minicolumn_none = Minicolumn(
space_size=100,
in_random_bits=1,
out_random_bits=1,
in_dimensions=1,
out_dimensions=1,
code_alignment=1,
class_point=PointNoneMock
)
self.minicolumn = Minicolumn(
space_size=20,
in_random_bits=10,
out_random_bits=10,
in_dimensions=10,
out_dimensions=10,
seed=41,
controversy=0.05,
code_alignment=1,
min_active_points=0,
class_point=PointOddEvenMock
)
self.minicolumn_front = Minicolumn(
space_size=20,
in_random_bits=10,
out_random_bits=2,
in_dimensions=10,
out_dimensions=2,
seed=41,
controversy=0.05,
code_alignment=1,
class_point=PointEmptyMock
)
self.minicolumn_back = Minicolumn(
space_size=20,
in_random_bits=2,
out_random_bits=10,
in_dimensions=2,
out_dimensions=10,
seed=41,
controversy=0.05,
code_alignment=1,
class_point=PointEmptyMock
)
self.minicolumn_assert_dim_2 = Minicolumn(
space_size=20,
in_random_bits=2,
out_random_bits=10,
in_dimensions=2,
out_dimensions=10,
seed=41,
controversy=0.05,
code_alignment=1,
class_point=PointEmptyMock
)
def setUp(self):
self.minicolumn = Minicolumn(
space_size=5,
in_random_bits=1,
out_random_bits=1,
in_dimensions=1,
out_dimensions=1,
code_alignment=1,
class_point=PointNoneMock
)
def test_code_alignment(self):
self.assertRaises(ValueError, Minicolumn, code_alignment=-5)
self.assertRaises(ValueError, Minicolumn, code_alignment=None)
self.assertRaises(
ValueError, Minicolumn,
code_alignment=3, in_dimensions=4, out_dimensions=2,
in_random_bits=1, out_random_bits=1
)
self.assertRaises(
ValueError, Minicolumn,
code_alignment=3, in_dimensions=3, out_dimensions=2,
in_random_bits=1, out_random_bits=1
)
Minicolumn(
space_size=10,
code_alignment=2, in_dimensions=4, out_dimensions=4,
in_random_bits=1, out_random_bits=1
)
the_same_clusters)
df = pd.read_csv('data/MNIST/mnist_train.csv', header=None, nrows=100)
max_number = 5000
count_subimages_for_image = 10
window_size = [4, 4]
space_size = 2000
minicolumn = Minicolumn(space_size=space_size,
max_clusters=30000,
in_dimensions=64,
in_random_bits=25,
out_dimensions=20,
out_random_bits=15,
seed=42,
code_alignment=5,
in_point_activate=5,
out_point_activate=4,
in_cluster_modify=6,
out_cluster_modify=3,
lr=0.3,
binarization=0.1)
transforms = ContextTransformer(directs=4)
for i in range(space_size, 10000):
np.sort(np.random.permutation(64)[:25])
np.sort(np.random.permutation(20)[:15])
means = []
delta = []
ind = 0
def setUp(self):
window_size = [4, 4]
width_angle = np.pi / 2
strength = 0
non_zeros_bits = 5
space_size = 500
directs = 4
self.minicolumn = Minicolumn(space_size=space_size,
max_clusters=900,
in_dimensions=64,
in_random_bits=25,
out_dimensions=20,
out_random_bits=15,
seed=42,
code_alignment=5,
in_point_activate=5,
out_point_activate=4,
in_cluster_modify=6,
out_cluster_modify=3,
lr=0.3,
binarization=0.1)
self.transformer = ContextTransformer(directs=directs,
window_size=window_size,
width_angle=width_angle,
strength=strength,
non_zeros_bits=non_zeros_bits)
self.answer = [{
self.Answer.STATUS:
MINICOLUMN.LEARN,
self.Answer.OPT_OUT:
np.array(
[0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0]),
self.Answer.MEANS:
0.628,
self.Answer.CONT_NUM:
314,
self.Answer.OPT_IND:
7,
self.Answer.EMPTY_CODE:
False
}, {
self.Answer.STATUS:
MINICOLUMN.LEARN,
self.Answer.OPT_OUT:
np.array(
[0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0]),
self.Answer.MEANS:
1.154,
self.Answer.CONT_NUM:
577,
self.Answer.OPT_IND:
20,
self.Answer.EMPTY_CODE:
False
}, {
self.Answer.STATUS:
MINICOLUMN.LEARN,
self.Answer.OPT_OUT:
np.array(
[0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0]),
self.Answer.MEANS:
1.408,
self.Answer.CONT_NUM:
704,
self.Answer.OPT_IND:
14,
self.Answer.EMPTY_CODE:
False
}, {
self.Answer.STATUS:
MINICOLUMN.LEARN,
self.Answer.OPT_OUT:
np.array(
[1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1]),
self.Answer.MEANS:
1.928,
self.Answer.CONT_NUM:
964,
self.Answer.OPT_IND:
29,
self.Answer.EMPTY_CODE:
False
}, {
self.Answer.STATUS: MINICOLUMN.SLEEP,
self.Answer.OPT_OUT: None,
self.Answer.MEANS: 1.928,
self.Answer.CONT_NUM: 964,
self.Answer.OPT_IND: None,
self.Answer.EMPTY_CODE: False
}, {
self.Answer.STATUS: MINICOLUMN.SLEEP,
self.Answer.OPT_OUT: None,
self.Answer.MEANS: 1.928,
self.Answer.CONT_NUM: 964,
self.Answer.OPT_IND: None,
self.Answer.EMPTY_CODE: False
}]
def test_size_space(self):
space_size = 100
minicolumn = Minicolumn(space_size=space_size, class_point=PointNoneMock)
self.assertEqual(len(minicolumn.space), space_size)