wehub-resource-sync
149 lines
4.6 KiB
Python
149 lines
4.6 KiB
Python
"""This file contains tests for the `shap.datasets` module."""
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import pytest
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import shap
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@pytest.mark.parametrize("n_points", [None, 12])
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def test_imagenet50(n_points):
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# test that fetch/download works fine
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X, y = shap.datasets.imagenet50(n_points=n_points)
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# check the shape of the result
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# check that the n_points parameter samples the dataset
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n_points = 50 if n_points is None else n_points
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assert X.shape == (n_points, 224, 224, 3)
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assert y.shape == (n_points,)
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@pytest.mark.parametrize("n_points", [None, 12])
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def test_california(n_points):
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# test that fetch/download works fine
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X, y = shap.datasets.california(n_points=n_points)
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# check the shape of the result
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# check that the n_points parameter samples the dataset
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n_points = 20_640 if n_points is None else n_points
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assert X.shape == (n_points, 8)
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assert y.shape == (n_points,)
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@pytest.mark.parametrize("n_points", [None, 12])
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def test_linnerud(n_points):
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# test that fetch/download works fine
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X, y = shap.datasets.linnerud(n_points=n_points)
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# check the shape of the result
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# check that the n_points parameter samples the dataset
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n_points = 20 if n_points is None else n_points
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assert X.shape == (n_points, 3)
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assert y.shape == (n_points, 3)
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@pytest.mark.parametrize("n_points", [None, 12])
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def test_imdb(n_points):
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# test that fetch/download works fine
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X, y = shap.datasets.imdb(n_points=n_points)
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# check the shape of the result
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# check that the n_points parameter samples the dataset
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n_points = 25_000 if n_points is None else n_points
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assert len(X) == n_points
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assert len(y) == n_points
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@pytest.mark.parametrize("n_points", [None, 12])
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def test_diabetes(n_points):
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# test that fetch/download works fine
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X, y = shap.datasets.diabetes(n_points=n_points)
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# check the shape of the result
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# check that the n_points parameter samples the dataset
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n_points = 442 if n_points is None else n_points
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assert X.shape == (n_points, 10)
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assert y.shape == (n_points,)
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@pytest.mark.parametrize("n_points", [None, 12])
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def test_iris(n_points):
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# test that fetch/download works fine
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X, y = shap.datasets.iris(n_points=n_points)
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# check the shape of the result
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# check that the n_points parameter samples the dataset
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n_points = 150 if n_points is None else n_points
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assert X.shape == (n_points, 4)
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assert y.shape == (n_points,)
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@pytest.mark.parametrize("n_points", [None, 12])
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def test_adult(n_points):
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# test that fetch/download works fine
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X, y = shap.datasets.adult(n_points=n_points)
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# check the shape of the result
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# check that the n_points parameter samples the dataset
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n_points = 32_561 if n_points is None else n_points
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assert X.shape == (n_points, 12)
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assert y.shape == (n_points,)
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@pytest.mark.parametrize("n_points", [None, 12])
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def test_nhanesi(n_points):
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# test that fetch/download works fine
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X, y = shap.datasets.nhanesi(n_points=n_points)
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# check the shape of the result
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# check that the n_points parameter samples the dataset
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n_points = 14_264 if n_points is None else n_points
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assert X.shape == (n_points, 79)
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assert y.shape == (n_points,)
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@pytest.mark.parametrize("n_points", [100, 2_000])
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def test_corrgroups60(n_points):
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# test that fetch/download works fine
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X, y = shap.datasets.corrgroups60(n_points=n_points)
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# check the shape of the result
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# check that the n_points parameter samples the dataset
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assert X.shape == (n_points, 60)
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assert y.shape == (n_points,)
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@pytest.mark.parametrize("n_points", [100, 2_000])
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def test_independentlinear60(n_points):
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# test that fetch/download works fine
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X, y = shap.datasets.independentlinear60(n_points=n_points)
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# check the shape of the result
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# check that the n_points parameter samples the dataset
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assert X.shape == (n_points, 60)
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assert y.shape == (n_points,)
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@pytest.mark.parametrize("n_points", [None, 12])
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def test_a1a(n_points):
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# test that fetch/download works fine
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X, y = shap.datasets.a1a(n_points=n_points)
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# check the shape of the result
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# check that the n_points parameter samples the dataset
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n_points = 1_605 if n_points is None else n_points
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assert X.shape == (n_points, 119)
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assert y.shape == (n_points,)
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def test_rank():
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# test that fetch/download works fine
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X1, y1, X2, y2, q1, q2 = shap.datasets.rank()
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# check the shape of the result
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assert X1.shape == (3_005, 300)
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assert y1.shape == (3_005,)
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assert X2.shape == (768, 300)
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assert y2.shape == (768,)
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assert q1.shape == (201,)
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assert q2.shape == (50,)
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