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Make scaler test more robust #1122

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May 28, 2024
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5 changes: 3 additions & 2 deletions tests/data/dataset_modification_test.py
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,7 @@

from collections.abc import Callable

import numpy as np
import pandas as pd
import pytest
from sklearn.preprocessing import MinMaxScaler, StandardScaler
Expand Down Expand Up @@ -73,8 +74,8 @@ def test_scaling_separate_test(
train_post, _ = scale_continuous(dataset, train_scaled, scaler2, inverse=True)
test_post, _ = scale_continuous(dataset, test_scaled, scaler2, inverse=True)

pd.testing.assert_frame_equal(train.x, train_post.x, check_dtype=False)
pd.testing.assert_frame_equal(test.x, test_post.x, check_dtype=False)
np.testing.assert_allclose(train.x.to_numpy(), train_post.x.to_numpy(), atol=1e-7)
np.testing.assert_allclose(test.x.to_numpy(), test_post.x.to_numpy(), atol=1e-7)


def test_from_dummies() -> None:
Expand Down
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