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TST Sets random_state for test_logistic.py #25446

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Merged
merged 1 commit into from
Jan 25, 2023
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TST Sets random_state for test_logistic.py #25446

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8 changes: 6 additions & 2 deletions sklearn/linear_model/tests/test_logistic.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
import itertools
import os
import warnings
from functools import partial
import numpy as np
from numpy.testing import assert_allclose, assert_almost_equal
from numpy.testing import assert_array_almost_equal, assert_array_equal
Expand Down Expand Up @@ -28,13 +29,16 @@
from sklearn.linear_model._logistic import (
_log_reg_scoring_path,
_logistic_regression_path,
LogisticRegression,
LogisticRegressionCV,
LogisticRegression as LogisticRegressionDefault,
LogisticRegressionCV as LogisticRegressionCVDefault,
)

pytestmark = pytest.mark.filterwarnings(
"error::sklearn.exceptions.ConvergenceWarning:sklearn.*"
)
# Fixing random_state helps prevent ConvergenceWarnings
LogisticRegression = partial(LogisticRegressionDefault, random_state=0)
LogisticRegressionCV = partial(LogisticRegressionCVDefault, random_state=0)


SOLVERS = ("lbfgs", "liblinear", "newton-cg", "newton-cholesky", "sag", "saga")
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