def test_pipeline(self):
dataset = MockDataset()
estimator0 = MockEstimator()
transformer1 = MockTransformer()
estimator2 = MockEstimator()
transformer3 = MockTransformer()
pipeline = Pipeline(
stages=[estimator0, transformer1, estimator2, transformer3])
pipeline_model = pipeline.fit(dataset, {
estimator0.fake: 0,
transformer1.fake: 1
})
model0, transformer1, model2, transformer3 = pipeline_model.stages
self.assertEqual(0, model0.dataset_index)
self.assertEqual(0, model0.getFake())
self.assertEqual(1, transformer1.dataset_index)
self.assertEqual(1, transformer1.getFake())
self.assertEqual(2, dataset.index)
self.assertIsNone(model2.dataset_index,
"The last model shouldn't be called in fit.")
self.assertIsNone(transformer3.dataset_index,
"The last transformer shouldn't be called in fit.")
dataset = pipeline_model.transform(dataset)
self.assertEqual(2, model0.dataset_index)
self.assertEqual(3, transformer1.dataset_index)
self.assertEqual(4, model2.dataset_index)
self.assertEqual(5, transformer3.dataset_index)
self.assertEqual(6, dataset.index)
def testDefaultFitMultiple(self):
N = 4
data = MockDataset()
estimator = MockEstimator()
params = [{estimator.fake: i} for i in range(N)]
modelIter = estimator.fitMultiple(data, params)
indexList = []
for index, model in modelIter:
self.assertEqual(model.getFake(), index)
indexList.append(index)
self.assertEqual(sorted(indexList), list(range(N)))
def testDefaultFitMultiple(self):
N = 4
data = MockDataset()
estimator = MockEstimator()
params = [{estimator.fake: i} for i in range(N)]
modelIter = estimator.fitMultiple(data, params)
indexList = []
for index, model in modelIter:
self.assertEqual(model.getFake(), index)
indexList.append(index)
self.assertEqual(sorted(indexList), list(range(N)))
class EstimatorTest(unittest.TestCase):
def setUp(self):
self.estimator = MockEstimator()
self.data = MockDataset()
def test_fit_invalid_params(self):
invalid_type_parms = ""
self.assertRaises(TypeError, self.estimator.fit, self.data, invalid_type_parms)
def testDefaultFitMultiple(self):
N = 4
params = [{self.estimator.fake: i} for i in range(N)]
modelIter = self.estimator.fitMultiple(self.data, params)
indexList = []
for index, model in modelIter:
self.assertEqual(model.getFake(), index)
indexList.append(index)
self.assertEqual(sorted(indexList), list(range(N)))
def setUp(self):
self.estimator = MockEstimator()
self.data = MockDataset()