def test_classification(self):
nbrs = cl.weightedNeighbors(radius=4.0)
nbrs.fitModel()
classResult,indResult = nbrs.classify(np.array([1,2,3,4,5,6,7],ndmin=2))
self.assertEqual(classResult,'1.1')
self.assertTrue(all(np.isclose(indResult[0],np.array([0,2,6,7]))))
def test_load_detectedTargets(self):
nbrs = cl.weightedNeighbors(radius=3.0)
result = nbrs.current_model_targets[0].features
self.assertEqual(result,[1,2,3,4,5,6,7])
result = nbrs.current_model_targets[3].features
self.assertEqual(result,[7,6,5,4,3,2,1.4])
def test_load_detectedTargets(self):
nbrs = cl.weightedNeighbors(radius=3.0)
result = nbrs.current_model_targets[0].features
self.assertEqual(result, [1, 2, 3, 4, 5, 6, 7])
result = nbrs.current_model_targets[3].features
self.assertEqual(result, [7, 6, 5, 4, 3, 2, 1.4])
def test_classification(self):
nbrs = cl.weightedNeighbors(radius=4.0)
nbrs.fitModel()
classResult, indResult = nbrs.classify(
np.array([1, 2, 3, 4, 5, 6, 7], ndmin=2))
self.assertEqual(classResult, '1.1')
self.assertTrue(all(np.isclose(indResult[0], np.array([0, 2, 6, 7]))))