Source: scipy, scikit-learn Control: found -1 scipy/1.8.1-14 Control: found -1 scikit-learn/1.1.2+dfsg-5 Severity: serious Tags: sid bookworm User: debian...@lists.debian.org Usertags: breaks needs-update
Dear maintainer(s),With a recent upload of scipy the autopkgtest of scikit-learn fails in testing when that autopkgtest is run with the binary packages of scipy from unstable. It passes when run with only packages from testing. In tabular form:
pass fail
scipy from testing 1.8.1-14
scikit-learn from testing 1.1.2+dfsg-5
all others from testing from testing
I copied some of the output at the bottom of this report.
Currently this regression is blocking the migration of scipy to testing
[1]. Due to the nature of this issue, I filed this bug report against
both packages. Can you please investigate the situation and reassign the
bug to the right package?
More information about this bug and the reason for filing it can be found on https://wiki.debian.org/ContinuousIntegration/RegressionEmailInformation Paul [1] https://qa.debian.org/excuses.php?package=scipy https://ci.debian.net/data/autopkgtest/testing/ppc64el/s/scikit-learn/25863055/log.gz=================================== FAILURES =================================== ______________________ test_mlp_regressor_dtypes_casting _______________________
def test_mlp_regressor_dtypes_casting():
mlp_64 = MLPRegressor(
alpha=1e-5, hidden_layer_sizes=(5, 3), random_state=1,
max_iter=50
)
mlp_64.fit(X_digits[:300], y_digits[:300])
pred_64 = mlp_64.predict(X_digits[300:])
mlp_32 = MLPRegressor(
alpha=1e-5, hidden_layer_sizes=(5, 3), random_state=1,
max_iter=50
)
mlp_32.fit(X_digits[:300].astype(np.float32), y_digits[:300])
pred_32 = mlp_32.predict(X_digits[300:].astype(np.float32))
> assert_allclose(pred_64, pred_32, rtol=1e-04)
E AssertionError: E Not equal to tolerance rtol=0.0001, atol=0
E E Mismatched elements: 1 / 60 (1.67%)
E Max absolute difference: 1.77346709e-06
E Max relative difference: 0.00013333
E x: array([-1.624248e-02, 2.327707e+00, 6.674963e-01,
4.904700e-01,
E 6.739288e-01, 3.166697e+00, 4.548126e-01, 6.674963e-01,E -3.220949e-02, -6.899952e-01, 6.674963e-01, -6.329127e-01,... E y: array([-1.624250e-02, 2.327706e+00, 6.674960e-01, 4.904711e-01,
E 6.739284e-01, 3.166698e+00, 4.548138e-01, 6.674960e-01,E -3.220773e-02, -6.899955e-01, 6.674960e-01, -6.329128e-01,...
/usr/lib/python3/dist-packages/sklearn/neural_network/tests/test_mlp.py:872: AssertionError
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