def testcenterMatrix(self):
#Try centering a test set
iterator = CenterMatrixIterator(self.getIterator())
testIterator = iter(self.testMatrixList)
for X in iterator:
Y = X.todense()
X2 = next(testIterator)
Y2 = iterator.centerMatrix(X2).todense()
nptst.assert_array_almost_equal(Y, Y2)
def testUnCenter(self):
iterator = CenterMatrixIterator(self.getIterator())
testIterator = iter(self.testMatrixList)
for X in iterator:
Y = iterator.uncenter(X).todense()
Y2 = next(testIterator).todense()
for i in range(Y.shape[0]):
if numpy.nonzero(Y[i, :])[0].shape[0] > 1:
nptst.assert_array_almost_equal(Y[i, :], Y2[i, :])
def testCenterMatrix2(self):
"""
Test centering with the Netflix iterator.
"""
dataset = NetflixDataset()
#iterator = dataset.getTrainIteratorFunc()
trainIterator = dataset.getTrainIteratorFunc()
newIterator = CenterMatrixIterator(trainIterator)
X = newIterator.next()
for i in range(200):
self.assertAlmostEquals(X[i, :].mean(), 0, 6)
