def test_init_svd(self):
test_cases = [(self.space2, self.us, self.us2, self.x, self.row3)]
red1 = Svd(2)
red2 = Svd(1)
for in_s, expected_mat, expected_mat2, data, rows in test_cases:
in_s = in_s.apply(red1)
per_s = PeripheralSpace(in_s, DenseMatrix(data), rows)
np.testing.assert_array_almost_equal(expected_mat,
per_s.cooccurrence_matrix.mat,
2)
self.assertListEqual(per_s.id2row, in_s.id2row)
self.assertListEqual(per_s.id2column, [])
self.assertDictEqual(per_s.row2id, in_s.row2id)
self.assertDictEqual(per_s.column2id, {})
self.assertEqual(1, len(per_s.operations))
in_s = in_s.apply(red2)
per_s = PeripheralSpace(in_s, DenseMatrix(data), rows)
np.testing.assert_array_almost_equal(expected_mat2,
per_s.cooccurrence_matrix.mat,
2)
self.assertListEqual(per_s.id2row, in_s.id2row)
self.assertListEqual(per_s.id2column, [])
self.assertDictEqual(per_s.row2id, in_s.row2id)
self.assertDictEqual(per_s.column2id, {})
self.assertEqual(2, len(per_s.operations))
def test_init(self):
test_cases = [(self.space1, self.m2, self.row2, np.array([[2, 0.5,
1]]),
np.array([[0.69314718, 0, 0]]))]
w1 = EpmiWeighting()
w2 = PlogWeighting()
for core_s, per_mat, per_row, per_mat_out1, per_mat_out2 in test_cases:
tmp_mat = per_mat.copy()
tmp_core_mat = core_s.cooccurrence_matrix.mat
per_s1 = PeripheralSpace(core_s, DenseMatrix(per_mat), per_row)
np.testing.assert_array_equal(per_s1.cooccurrence_matrix.mat,
tmp_mat)
self.assert_column_identical(per_s1, core_s)
self.assertListEqual(per_s1.id2row, per_row)
self.assertListEqual(per_s1.operations, core_s.operations)
core_s1 = core_s.apply(w1)
per_s2 = PeripheralSpace(core_s1, DenseMatrix(per_mat), per_row)
np.testing.assert_array_almost_equal(
per_s2.cooccurrence_matrix.mat, per_mat_out1)
self.assert_column_identical(per_s2, core_s1)
self.assertListEqual(per_s2.id2row, per_row)
self.assertListEqual(per_s2.operations, core_s1.operations)
self.assertEqual(len(per_s2.operations), 1)
core_s2 = core_s1.apply(w2)
per_s3 = PeripheralSpace(core_s2, DenseMatrix(per_mat), per_row)
np.testing.assert_array_almost_equal(
per_s3.cooccurrence_matrix.mat, per_mat_out2)
self.assert_column_identical(per_s3, core_s2)
self.assertListEqual(per_s3.id2row, per_row)
self.assertListEqual(per_s3.operations, core_s2.operations)
self.assertEqual(len(per_s3.operations), 2)
np.testing.assert_array_equal(tmp_core_mat,
core_s.cooccurrence_matrix.mat)
core_s3 = core_s2
per_s4 = PeripheralSpace(core_s3, DenseMatrix(per_mat), per_row)
np.testing.assert_array_almost_equal(
per_s4.cooccurrence_matrix.mat, per_mat_out2)
self.assert_column_identical(per_s4, core_s2)
self.assertListEqual(per_s4.id2row, per_row)
self.assertListEqual(per_s4.operations, core_s3.operations)
self.assertEqual(len(per_s4.operations), 2)
np.testing.assert_array_equal(tmp_core_mat,
core_s.cooccurrence_matrix.mat)
def test_add_rows(self):
test_cases = [(self.space1, self.m2, self.row2, np.array([[4, 2,
6]]), ["c"],
np.array([[4, 2, 6], [4, 2, 6]]),
np.array([[0.69314718, 0, 0], [0.69314718, 0, 0]]), {
"b": 0,
"c": 1
}, ["b", "c"])]
for (core_sp, per_mat1, id2row1, per_mat2, id2row2, per_exp_mat1,
per_exp_mat2, per_exp_row2id, per_exp_id2row) in test_cases:
per_sp = PeripheralSpace(core_sp, DenseMatrix(per_mat1), id2row1)
per_sp.add_rows(DenseMatrix(per_mat2), id2row2)
np.testing.assert_array_almost_equal(
per_sp.cooccurrence_matrix.mat, per_exp_mat1, 7)
self.assertDictEqual(per_sp.row2id, per_exp_row2id)
self.assertListEqual(per_sp.id2row, per_exp_id2row)
self.assertDictEqual(per_sp.column2id, core_sp.column2id)
self.assertListEqual(per_sp.id2column, core_sp.id2column)
core_sp2 = core_sp.apply(PpmiWeighting())
per_sp2 = PeripheralSpace(core_sp2, DenseMatrix(per_mat1), id2row1)
per_sp2.add_rows(DenseMatrix(per_mat2), id2row2)
np.testing.assert_array_almost_equal(
per_sp2.cooccurrence_matrix.mat, per_exp_mat2, 7)
self.assertRaises(ValueError, per_sp2.add_rows,
DenseMatrix(per_mat2), id2row1)
self.assertRaises(ValueError, per_sp2.add_rows,
DenseMatrix(per_mat2), id2row2)
self.assertRaises(ValueError, per_sp2.add_rows,
DenseMatrix(per_mat2), ["d", "e"])
def transform_raw_per_space(raw_per_space, in_file_prefix, out_dir, out_format,
core_space_file):
in_file_descr = "PER_SS." + in_file_prefix.split("/")[-1]
core_space = io_utils.load(core_space_file, Space)
core_descr = ".".join(core_space_file.split("/")[-1].split(".")[0:-1])
space = PeripheralSpace(core_space, raw_per_space.cooccurrence_matrix,
raw_per_space.id2row, raw_per_space.row2id)
print("Printing...")
out_file_prefix = "%s/%s.%s" % (out_dir, in_file_descr, core_descr)
io_utils.save(space, out_file_prefix + ".pkl")
if not out_format is None:
space.export(out_file_prefix, format=out_format)
def test_add_rows_svd(self):
test_cases = [(self.space2, np.vstack([self.us2[0], self.us2[0]]),
self.m1, ["e"], ["f"], {
"e": 0,
"f": 1
})]
red1 = Svd(2)
red2 = Svd(1)
for in_s, expected_mat, data, id2row1, id2row2, row2id in test_cases:
in_s = in_s.apply(red1)
in_s = in_s.apply(red2)
per_s = PeripheralSpace(in_s, DenseMatrix(data), id2row1)
per_s.add_rows(DenseMatrix(data), id2row2)
np.testing.assert_array_almost_equal(expected_mat,
per_s.cooccurrence_matrix.mat,
2)
self.assertListEqual(per_s.id2row, id2row1 + id2row2)
self.assertListEqual(per_s.id2column, [])
self.assertDictEqual(per_s.row2id, row2id)
self.assertDictEqual(per_s.column2id, {})
self.assertEqual(2, len(per_s.operations))
def test_per_space_top_feat_selection(self):
test_cases = [(self.space_d, 1, ["f3"], {
"f3": 0
}, np.mat([[3], [5]])),
(self.space_d, 2, ["f3", "f1"], {
"f3": 0,
"f1": 1
}, np.mat([[3, 1], [5, 4]])),
(self.space_d, 4, ["f3", "f1", "f2"], {
"f3": 0,
"f1": 1,
"f2": 2
}, np.mat([[3, 1, 2], [5, 4, 0]]))]
for space_d, no_dim, id2col, col2id, mat in test_cases:
trans = TopFeatureSelection(no_dim)
new_space = space_d.apply(trans)
#peripheral test simple test
per_sp = PeripheralSpace(new_space, DenseMatrix(self.a),
["c", "d"])
self.assertListEqual(per_sp.id2row, ["c", "d"])
self.assertListEqual(per_sp.id2column, id2col)
self.assertDictEqual(per_sp.column2id, col2id)
np.testing.assert_array_equal(per_sp.cooccurrence_matrix.mat, mat)
#peripheral test with add rows
per_sp = PeripheralSpace(new_space, DenseMatrix(self.a[0, :]),
["c"])
per_sp.add_rows(DenseMatrix(self.a[1, :]), ["d"])
self.assertListEqual(per_sp.id2row, ["c", "d"])
self.assertListEqual(per_sp.id2column, id2col)
self.assertDictEqual(per_sp.column2id, col2id)
np.testing.assert_array_equal(per_sp.cooccurrence_matrix.mat, mat)
#peripheral test, with plog applied to core BEFORE feat selection
plogmat = mat.copy()
plogmat[plogmat == 0] = 1
plogmat = np.log(plogmat)
new_space = space_d.apply(PlogWeighting())
trans = TopFeatureSelection(no_dim)
new_space = new_space.apply(trans)
per_sp = PeripheralSpace(new_space, DenseMatrix(self.a),
["c", "d"])
self.assertListEqual(per_sp.id2row, ["c", "d"])
self.assertListEqual(per_sp.id2column, id2col)
self.assertDictEqual(per_sp.column2id, col2id)
np.testing.assert_array_almost_equal(
per_sp.cooccurrence_matrix.mat, plogmat, 7)
#peripheral test, with plog applied to core AFTER feat selection
trans = TopFeatureSelection(no_dim)
new_space = space_d.apply(trans)
new_space = new_space.apply(PlogWeighting())
per_sp = PeripheralSpace(new_space, DenseMatrix(self.a),
["c", "d"])
self.assertListEqual(per_sp.id2row, ["c", "d"])
self.assertListEqual(per_sp.id2column, id2col)
self.assertDictEqual(per_sp.column2id, col2id)
np.testing.assert_array_almost_equal(
per_sp.cooccurrence_matrix.mat, plogmat, 7)
