class TestNeuNet(TestCase):
def setUp(self):
projectRootPath = '/'.join(__file__.replace('\t', '/t').replace('\\', '/').split('/')[:-2]) + '/testDataSet/'
forwardWeightAllLayers = loadmat(projectRootPath + 'Theta1.mat')['Theta1'], loadmat(projectRootPath + 'Theta2.mat')['Theta2']
layersExOutputLy = (NnLayer(sigmoid, 400, 1, 25), NnLayer(sigmoid, 25, 1, 10))
layersExOutputLy[0].updateForwardWeight(forwardWeightAllLayers[0])
layersExOutputLy[1].updateForwardWeight(forwardWeightAllLayers[1])
self.inputs = loadmat(projectRootPath + 'X.mat')['X']
self.outputs = loadmat(projectRootPath + 'forwardPropOutputs.mat')['actualOutput']
self.nn = FeedforwardNeuNet(layersExOutputLy, 1, 0.05, 1)
def test_forwardPropogateOneInput(self):
self.nn.forwardPropogateOneInput(self.inputs[0])
assert_array_almost_equal(self.nn, self.outputs[0])
def test_forwardPropogateAllInput(self):
result = self.nn.forwardPropogateAllInput(self.inputs)
assert_array_almost_equal(result, self.outputs)
