from __future__ import division, print_function
import unittest
import numpy as np
from smqtk.representation.descriptor_element.local_elements import \
DescriptorMemoryElement
from smqtk.algorithms.relevancy_index.libsvm_hik import LibSvmHikRelevancyIndex
if LibSvmHikRelevancyIndex.is_usable():
class TestIqrSvmHik(unittest.TestCase):
@classmethod
def setUpClass(cls):
# Don't need to clear cache because we're setting the vectors here
cls.d0 = DescriptorMemoryElement('index', 0)
cls.d0.set_vector(np.array([1, 0, 0, 0, 0], float))
cls.d1 = DescriptorMemoryElement('index', 1)
cls.d1.set_vector(np.array([0, 1, 0, 0, 0], float))
cls.d2 = DescriptorMemoryElement('index', 2)
cls.d2.set_vector(np.array([0, 0, 1, 0, 0], float))
cls.d3 = DescriptorMemoryElement('index', 3)
cls.d3.set_vector(np.array([0, 0, 0, 1, 0], float))
cls.d4 = DescriptorMemoryElement('index', 4)
cls.d4.set_vector(np.array([0, 0, 0, 0, 1], float))
cls.d5 = DescriptorMemoryElement('index', 5)
cls.d5.set_vector(np.array([0.5, 0, 0.5, 0, 0], float))
cls.d6 = DescriptorMemoryElement('index', 6)
cls.d6.set_vector(np.array([.2, .2, .2, .2, .2], float))
cls.index_descriptors = [
cls.d0, cls.d1, cls.d2, cls.d3, cls.d4, cls.d5, cls.d6
from __future__ import division, print_function
import unittest
import numpy as np
from smqtk.representation.descriptor_element.local_elements import \
DescriptorMemoryElement
from smqtk.algorithms.relevancy_index.libsvm_hik import LibSvmHikRelevancyIndex
if LibSvmHikRelevancyIndex.is_usable():
class TestIqrSvmHik (unittest.TestCase):
@classmethod
def setUpClass(cls):
# Don't need to clear cache because we're setting the vectors here
cls.d0 = DescriptorMemoryElement('index', 0)
cls.d0.set_vector(np.array([1, 0, 0, 0, 0], float))
cls.d1 = DescriptorMemoryElement('index', 1)
cls.d1.set_vector(np.array([0, 1, 0, 0, 0], float))
cls.d2 = DescriptorMemoryElement('index', 2)
cls.d2.set_vector(np.array([0, 0, 1, 0, 0], float))
cls.d3 = DescriptorMemoryElement('index', 3)
cls.d3.set_vector(np.array([0, 0, 0, 1, 0], float))
cls.d4 = DescriptorMemoryElement('index', 4)
cls.d4.set_vector(np.array([0, 0, 0, 0, 1], float))
cls.d5 = DescriptorMemoryElement('index', 5)
cls.d5.set_vector(np.array([0.5, 0, 0.5, 0, 0], float))
cls.d6 = DescriptorMemoryElement('index', 6)
cls.d6.set_vector(np.array([.2, .2, .2, .2, .2], float))
