Closed
Description
Describe the bug
It just tried to use SGDClassifier with log_loss, but it fail some test when I try to validated it with check_estimator function.
Steps/Code to Reproduce
from sklearn.linear_model import SGDClassifier
from sklearn.utils.estimator_checks import check_estimator
estimator = SGDClassifier(loss="log_loss")
check_estimator(estimator=estimator)Expected Results
No error is thrown.
Actual Results
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/jaime/PycharmProjects/frouros/.venv/lib/python3.9/site-packages/sklearn/utils/estimator_checks.py", line 623, in check_estimator
check(estimator)
File "/home/jaime/PycharmProjects/frouros/.venv/lib/python3.9/site-packages/sklearn/utils/_testing.py", line 318, in wrapper
return fn(*args, **kwargs)
File "/home/jaime/PycharmProjects/frouros/.venv/lib/python3.9/site-packages/sklearn/utils/estimator_checks.py", line 3474, in check_decision_proba_consistency
assert_array_equal(rankdata(a), rankdata(b))
File "/home/jaime/PycharmProjects/frouros/.venv/lib/python3.9/site-packages/numpy/testing/_private/utils.py", line 934, in assert_array_equal
assert_array_compare(operator.__eq__, x, y, err_msg=err_msg,
File "/home/jaime/PycharmProjects/frouros/.venv/lib/python3.9/site-packages/numpy/testing/_private/utils.py", line 844, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not equal
Mismatched elements: 16 / 20 (80%)
Max absolute difference: 4.
Max relative difference: 4.
x: array([ 5. , 5. , 5. , 16.5, 5. , 16.5, 16.5, 16.5, 5. , 5. , 12. ,
5. , 5. , 16.5, 16.5, 16.5, 11. , 10. , 16.5, 5. ])
y: array([ 8., 4., 7., 14., 2., 15., 20., 19., 5., 6., 12., 3., 1.,
17., 18., 13., 11., 10., 16., 9.])Versions
System:
python: 3.9.13 (main, May 23 2022, 22:01:06) [GCC 9.4.0]
executable: /home/jaime/PycharmProjects/frouros/.venv/bin/python3
machine: Linux-5.14.0-1045-oem-x86_64-with-glibc2.31
Python dependencies:
sklearn: 1.1.1
pip: 22.1.2
setuptools: 62.6.0
numpy: 1.23.1
scipy: 1.8.1
Cython: None
pandas: None
matplotlib: 3.5.2
joblib: 1.1.0
threadpoolctl: 3.1.0
Built with OpenMP: True
threadpoolctl info:
user_api: openmp
internal_api: openmp
prefix: libgomp
filepath: /home/jaime/PycharmProjects/frouros/.venv/lib/python3.9/site-packages/scikit_learn.libs/libgomp-a34b3233.so.1.0.0
version: None
num_threads: 8
user_api: blas
internal_api: openblas
prefix: libopenblas
filepath: /home/jaime/PycharmProjects/frouros/.venv/lib/python3.9/site-packages/numpy.libs/libopenblas64_p-r0-742d56dc.3.20.so
version: 0.3.20
threading_layer: pthreads
architecture: SkylakeX
num_threads: 8
user_api: blas
internal_api: openblas
prefix: libopenblas
filepath: /home/jaime/PycharmProjects/frouros/.venv/lib/python3.9/site-packages/scipy.libs/libopenblasp-r0-8b9e111f.3.17.so
version: 0.3.17
threading_layer: pthreads
architecture: SkylakeX
num_threads: 8