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[ENH] add new test parameter sets for TimeSeriesKMeansTslearn #6195

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merged 3 commits into from Mar 23, 2024
Merged

[ENH] add new test parameter sets for TimeSeriesKMeansTslearn #6195

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83305f4
Add new test parameter sets for TimeSeriesKMeansTslearn
shankariraja Mar 23, 2024
ea740ce
Update _k_means_tslearn.py
shankariraja Mar 23, 2024
18b2c4b
Update _k_means_tslearn.py
shankariraja Mar 23, 2024
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30 changes: 12 additions & 18 deletions sktime/clustering/k_means/_k_means_tslearn.py
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Expand Up @@ -177,22 +177,17 @@ def get_test_params(cls, parameter_set="default"):
instance.
``create_test_instance`` uses the first (or only) dictionary in ``params``
"""
# commented since k-means++ does not properly work
# errors out with
# TypeError:
# _kmeans_plusplus() missing 1 required positional argument: 'sample_weight'
#
# params1 = {
# "n_clusters": 3,
# "max_iter": 3,
# "tol": 0.001,
# "n_init": 2,
# "metric": "euclidean",
# "max_iter_barycenter": 7,
# "verbose": 0,
# "random_state": 42,
# "init": "k-means++",
# }
params1 = {
"n_clusters": 3,
"max_iter": 3,
"tol": 0.001,
"n_init": 2,
"metric": "euclidean",
"max_iter_barycenter": 7,
"verbose": 0,
"random_state": 42,
"init": "k-means++",
}
params2 = {
"n_clusters": 2,
"max_iter": 5,
Expand All @@ -204,8 +199,7 @@ def get_test_params(cls, parameter_set="default"):
"random_state": None,
"init": "random",
}
# return [params1, params2]
return [params2]
return [params1, params2]

def _score(self, X, y=None) -> float:
return np.abs(self.inertia_)