8000 TST Inject placeholder value for MeanShift.bandwidth by jjerphan · Pull Request #21501 · scikit-learn/scikit-learn · GitHub
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5 changes: 5 additions & 0 deletions sklearn/utils/estimator_checks.py
Original file line number Diff line number Diff line change
Expand Up @@ -632,6 +632,11 @@ def _set_checking_parameters(estimator):
if "n_init" in params:
# K-Means
estimator.set_params(n_init=2)
if name == "MeanShift":
# In the case of check_fit2d_1sample, bandwidth is set to None and
# is thus estimated. De facto it is 0.0 as a single sample is provided
# and this makes the test fails. Hence we give it a placeholder value.
estimator.set_params(bandwidth=1.0)

if name == "TruncatedSVD":
# TruncatedSVD doesn't run with n_components = n_features
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0