FIX Fixed array equality check in pprint (scikit-learn#13584)

sklearn/utils/_pprint.py

@@ -95,7 +95,7 @@ def _changed_params(estimator):
     init_params = signature(init_func).parameters
     init_params = {name: param.default for name, param in init_params.items()}
     for k, v in params.items():
-        if (v != init_params[k] and
+        if (repr(v) != repr(init_params[k]) and
                 not (is_scalar_nan(init_params[k]) and is_scalar_nan(v))):
             filtered_params[k] = v
     return filtered_params

sklearn/utils/tests/test_pprint.py

@@ -4,6 +4,7 @@
 import numpy as np
 
 from sklearn.utils._pprint import _EstimatorPrettyPrinter
+from sklearn.linear_model import LogisticRegressionCV
 from sklearn.pipeline import make_pipeline
 from sklearn.base import BaseEstimator, TransformerMixin
 from sklearn.feature_selection import SelectKBest, chi2
@@ -212,6 +213,9 @@ def test_changed_only():
     expected = """SimpleImputer()"""
     assert imputer.__repr__() == expected
 
+    # make sure array parameters don't throw error (see #13583)
+    repr(LogisticRegressionCV(Cs=np.array([0.1, 1])))
+
     set_config(print_changed_only=False)