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@@ -1,6 +1,6 @@ | ||
# | ||
# author: Jungtaek Kim ([email protected]) | ||
# last updated: August 17, 2021 | ||
# author: Jungtaek Kim ([email protected]) | ||
# last updated: November 15, 2024 | ||
# | ||
"""test_trees_trees_common""" | ||
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@@ -12,9 +12,6 @@ | |
from bayeso.trees import trees_common as package_target | ||
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TEST_EPSILON = 1e-7 | ||
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def test_get_inputs_from_leaf_typing(): | ||
annos = package_target.get_inputs_from_leaf.__annotations__ | ||
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@@ -136,7 +133,7 @@ def test_mse(): | |
assert output == 1e8 + 0.015 | ||
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output = package_target.mse((left, right)) | ||
assert np.abs(output - (0.021875 + 0.015)) < TEST_EPSILON | ||
np.testing.assert_allclose(output, 0.021875 + 0.015) | ||
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def test_subsample_typing(): | ||
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@@ -203,8 +200,9 @@ def test_subsample(): | |
] | ||
) | ||
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assert np.all(np.abs(X_truth - X_) < TEST_EPSILON) | ||
assert np.all(np.abs(Y_truth - Y_) < TEST_EPSILON) | ||
np.testing.assert_allclose(X_, X_truth) | ||
np.testing.assert_allclose(Y_, Y_truth) | ||
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assert X_.shape[0] == Y_.shape[0] == X_truth.shape[0] == Y_truth.shape[0] | ||
assert X_.shape[0] == Y_.shape[0] == int(ratio_sampling * X.shape[0]) | ||
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@@ -245,8 +243,9 @@ def test_subsample(): | |
] | ||
) | ||
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assert np.all(np.abs(X_truth - X_) < TEST_EPSILON) | ||
assert np.all(np.abs(Y_truth - Y_) < TEST_EPSILON) | ||
np.testing.assert_allclose(X_, X_truth) | ||
np.testing.assert_allclose(Y_, Y_truth) | ||
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assert X_.shape[0] == Y_.shape[0] == X_truth.shape[0] == Y_truth.shape[0] | ||
assert X_.shape[0] == Y_.shape[0] == int(1.2 * X.shape[0]) | ||
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@@ -346,64 +345,34 @@ def test__split(): | |
assert dict_split["value"] == 35.0 | ||
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assert np.all(dict_split["left_right"][0][0][0] == np.array([0, 1, 2, 3])) | ||
assert ( | ||
np.abs(dict_split["left_right"][0][0][1] - np.array([0.49671415])) | ||
< TEST_EPSILON | ||
) | ||
np.testing.assert_allclose(dict_split["left_right"][0][0][1], np.array([0.49671415])) | ||
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assert np.all(dict_split["left_right"][0][1][0] == np.array([4, 5, 6, 7])) | ||
assert ( | ||
np.abs(dict_split["left_right"][0][1][1] - np.array([-0.1382643])) | ||
< TEST_EPSILON | ||
) | ||
np.testing.assert_allclose(dict_split["left_right"][0][1][1], np.array([-0.1382643])) | ||
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assert np.all(dict_split["left_right"][0][2][0] == np.array([8, 9, 10, 11])) | ||
assert ( | ||
np.abs(dict_split["left_right"][0][2][1] - np.array([0.64768854])) | ||
< TEST_EPSILON | ||
) | ||
np.testing.assert_allclose(dict_split["left_right"][0][2][1], np.array([0.64768854])) | ||
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assert np.all(dict_split["left_right"][0][3][0] == np.array([12, 13, 14, 15])) | ||
assert ( | ||
np.abs(dict_split["left_right"][0][3][1] - np.array([1.52302986])) | ||
< TEST_EPSILON | ||
) | ||
np.testing.assert_allclose(dict_split["left_right"][0][3][1], np.array([1.52302986])) | ||
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assert np.all(dict_split["left_right"][0][4][0] == np.array([16, 17, 18, 19])) | ||
assert ( | ||
np.abs(dict_split["left_right"][0][4][1] - np.array([-0.23415337])) | ||
< TEST_EPSILON | ||
) | ||
np.testing.assert_allclose(dict_split["left_right"][0][4][1], np.array([-0.23415337])) | ||
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assert np.all(dict_split["left_right"][0][5][0] == np.array([20, 21, 22, 23])) | ||
assert ( | ||
np.abs(dict_split["left_right"][0][5][1] - np.array([-0.23413696])) | ||
< TEST_EPSILON | ||
) | ||
np.testing.assert_allclose(dict_split["left_right"][0][5][1], np.array([-0.23413696])) | ||
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assert np.all(dict_split["left_right"][0][6][0] == np.array([24, 25, 26, 27])) | ||
assert ( | ||
np.abs(dict_split["left_right"][0][6][1] - np.array([1.57921282])) | ||
< TEST_EPSILON | ||
) | ||
np.testing.assert_allclose(dict_split["left_right"][0][6][1], np.array([1.57921282])) | ||
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assert np.all(dict_split["left_right"][0][7][0] == np.array([28, 29, 30, 31])) | ||
assert ( | ||
np.abs(dict_split["left_right"][0][7][1] - np.array([0.76743473])) | ||
< TEST_EPSILON | ||
) | ||
np.testing.assert_allclose(dict_split["left_right"][0][7][1], np.array([0.76743473])) | ||
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assert np.all(dict_split["left_right"][0][8][0] == np.array([32, 33, 34, 35])) | ||
assert ( | ||
np.abs(dict_split["left_right"][0][8][1] - np.array([-0.46947439])) | ||
< TEST_EPSILON | ||
) | ||
np.testing.assert_allclose(dict_split["left_right"][0][8][1], np.array([-0.46947439])) | ||
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assert np.all(dict_split["left_right"][1][0][0] == np.array([36, 37, 38, 39])) | ||
assert ( | ||
np.abs(dict_split["left_right"][1][0][1] - np.array([0.54256004])) | ||
< TEST_EPSILON | ||
) | ||
np.testing.assert_allclose(dict_split["left_right"][1][0][1], np.array([0.54256004])) | ||
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dict_split = package_target._split(X, Y, num_features, True) | ||
print(dict_split) | ||
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@@ -666,8 +635,8 @@ def test_predict_by_trees(): | |
assert means.shape[0] == stds.shape[0] == X.shape[0] | ||
assert means.shape[1] == stds.shape[1] == 1 | ||
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assert np.all(np.abs(means - means_truth) < TEST_EPSILON) | ||
assert np.all(np.abs(stds - stds_truth) < TEST_EPSILON) | ||
np.testing.assert_allclose(means, means_truth) | ||
np.testing.assert_allclose(stds, stds_truth) | ||
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X = np.random.randn(1000, 4) | ||
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,6 +1,6 @@ | ||
# | ||
# author: Jungtaek Kim ([email protected]) | ||
# last updated: August 20, 2021 | ||
# author: Jungtaek Kim ([email protected]) | ||
# last updated: November 15, 2024 | ||
# | ||
"""test_trees_trees_generic_trees""" | ||
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@@ -12,9 +12,6 @@ | |
from bayeso.trees import trees_generic_trees as package_target | ||
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TEST_EPSILON = 1e-7 | ||
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def test_get_generic_trees_typing(): | ||
annos = package_target.get_generic_trees.__annotations__ | ||
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