def test_sparse_matrix(self):
rows = Rows(TestFeatureEncoder.rows)
fe = FeatureEncoder(rows)
inv_idx = fe.make_sparse_matrix()
expected = csr_matrix(((3, 2, 1, 3, 2, 1),
((0, 0, 0, 1, 1, 1), (0, 1, 2, 0, 1, 3))),
shape=(2, 4),
dtype=int32)
to_string = lambda mat: str(mat.toarray()).replace('\n', ',')
# scipy.sparse.matrix.nnz: number of non-zero values
self.assertEqual(abs(inv_idx - expected).nnz, 0,
"{} != {}".format(to_string(expected),
to_string(inv_idx)))
def test_sparse_matrix(self):
rows = Rows(TestFeatureEncoder.rows)
fe = FeatureEncoder(rows)
inv_idx = fe.make_sparse_matrix()
expected = csr_matrix(
((3, 2, 1, 3, 2, 1), ((0, 0, 0, 1, 1, 1), (0, 1, 2, 0, 1, 3))),
shape=(2, 4),
dtype=int32)
to_string = lambda mat: str(mat.toarray()).replace('\n', ',')
# scipy.sparse.matrix.nnz: number of non-zero values
self.assertEqual(
abs(inv_idx - expected).nnz, 0,
"{} != {}".format(to_string(expected), to_string(inv_idx)))
def test_multirow_token_generator(self):
rows = Rows(TestFeatureEncoder.rows)
rows.names = ("id", "text1", "text2", "label")
rows.text_columns = (1, 2)
fe = FeatureEncoder(rows)
for instance in range(2):
expected = []
for i in range(1, 3):
for t in rows.rows[instance][i]:
expected.append('text{}={}'.format(i, t))
gen = fe._multirow_token_generator(rows.rows[instance])
received = []
for idx, token in enumerate(gen):
self.assertEqual(expected[idx], token)
received.append(token)
self.assertListEqual(expected, received)
def test_multirow_token_generator(self):
rows = Rows(TestFeatureEncoder.rows)
rows.names = ("id", "text1", "text2", "label")
rows.text_columns = (1, 2)
fe = FeatureEncoder(rows)
for instance in range(2):
expected = []
for i in range(1, 3):
for t in rows.rows[instance][i]:
expected.append('text{}={}'.format(i, t))
gen = fe._multirow_token_generator(rows.rows[instance])
received = []
for idx, token in enumerate(gen):
self.assertEqual(expected[idx], token)
received.append(token)
self.assertListEqual(expected, received)
def test_make_vocabulary(self):
rows = Rows(TestFeatureEncoder.rows)
fe = FeatureEncoder(rows)
fe.make_sparse_matrix()
self.assertEqual({'a': 0, 'b': 1, 'c': 2, 'd': 3}, fe.vocabulary)
def test_make_vocabulary(self):
rows = Rows(TestFeatureEncoder.rows)
fe = FeatureEncoder(rows)
fe.make_sparse_matrix()
self.assertEqual({'a': 0, 'b': 1, 'c': 2, 'd': 3}, fe.vocabulary)
def test_init(self):
rows = Rows(TestFeatureEncoder.rows)
fe = FeatureEncoder(rows)
self.assertEqual(None, fe.vocabulary)
self.assertEqual(0, fe.id_col)
self.assertEqual(-1, fe.label_col)
