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Add scikit-learn 1.0 and 1.1 values for test #1168

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Merged
PGijsbers merged 3 commits into from
Oct 7, 2022
Merged

Add scikit-learn 1.0 and 1.1 values for test #1168

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b72002a
Add scikit-learn 1.0 and 1.1 values for test
PGijsbers Sep 30, 2022
0f75cef
Remove min_impurity_split requirements for >=1.0
PGijsbers Oct 3, 2022
b0b19c2
Update KMeans checks for scikit-learn 1.0 and 1.1
PGijsbers Oct 3, 2022
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Update KMeans checks for scikit-learn 1.0 and 1.1
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@PGijsbers
PGijsbers committed Oct 3, 2022
commit b0b19c28bcfb5f3d4baf337603f8118eb592534c
30 changes: 29 additions & 1 deletion tests/test_extensions/test_sklearn_extension/test_sklearn_extension.py
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Expand Up @@ -267,7 +267,7 @@ def test_serialize_model_clustering(self):
("verbose", "0"),
)
)
else:
elif LooseVersion(sklearn.__version__) < "1.0":
fixture_parameters = OrderedDict(
(
("algorithm", '"auto"'),
Expand All @@ -283,6 +283,34 @@ def test_serialize_model_clustering(self):
("verbose", "0"),
)
)
elif LooseVersion(sklearn.__version__) < "1.1":
fixture_parameters = OrderedDict(
(
("algorithm", '"auto"'),
("copy_x", "true"),
("init", '"k-means++"'),
("max_iter", "300"),
("n_clusters", "8"),
("n_init", "10"),
("random_state", "null"),
("tol", "0.0001"),
("verbose", "0"),
)
)
else:
fixture_parameters = OrderedDict(
(
("algorithm", '"lloyd"'),
("copy_x", "true"),
("init", '"k-means++"'),
("max_iter", "300"),
("n_clusters", "8"),
("n_init", "10"),
("random_state", "null"),
("tol", "0.0001"),
("verbose", "0"),
)
)
fixture_structure = {"sklearn.cluster.{}.KMeans".format(cluster_name): []}

serialization, _ = self._serialization_test_helper(
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