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[MNT] Update tslearn dependency to >=0.7.0 and fix kshape tests #3119

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Merged
chrisholder merged 4 commits into from
Nov 20, 2025
Merged

[MNT] Update tslearn dependency to >=0.7.0 and fix kshape tests #3119

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aae6e87
[MNT] Update kshape test expectations for tslearn 0.7.0
Nithurshen Nov 18, 2025
4501b35
[MNT] fix kshape/ROCKAD tests
Nithurshen Nov 18, 2025
0f8d352
[MNT] Fixing tslearn verison requirements
Nithurshen Nov 18, 2025
7da76fe
[MNT] Using old version requirements for tslearn
Nithurshen Nov 18, 2025
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2 changes: 1 addition & 1 deletion aeon/anomaly_detection/series/distance_based/_rockad.py
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Expand Up @@ -85,7 +85,7 @@ class ROCKAD(BaseSeriesAnomalyDetector):
>>> detector.fit(X_train)
ROCKAD(...)
>>> detector.predict(X_test)
array([0. , 0.00554713, 0.0699094 , 0.22881059, 0.32382585,
array([0. , 0.00554713, 0.06990941, 0.22881059, 0.32382585,
0.43652154, 0.43652154, 0.43652154, 0.43652154, 0.43652154,
0.43652154, 0.43652154, 0.43652154, 0.43652154, 0.43652154,
0.52382585, 0.65200875, 0.80313368, 0.85194345, 1. ])
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8 changes: 4 additions & 4 deletions aeon/clustering/tests/test_k_shape.py
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Expand Up @@ -7,13 +7,13 @@
from aeon.datasets import load_basic_motions
from aeon.utils.validation._dependencies import _check_estimator_deps

expected_results = [2, 2, 2, 0, 0]
expected_results = [1, 1, 1, 2, 2]

inertia = 0.5645477840468736
inertia = 0.5753409783429747

expected_iters = 2
expected_iters = 4

expected_labels = [0, 2, 1, 1, 1]
expected_labels = [2, 1, 0, 2, 2]


@pytest.mark.skipif(
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2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -72,7 +72,7 @@ all_extras = [
"keras>=3.6.0; python_version < '3.13'",
"torch>=1.13.1",
"tsfresh>=0.20.0",
"tslearn>=0.5.2,<0.7.0",
"tslearn>=0.5.2",
]
dl = [
"tensorflow>=2.14; python_version < '3.13'",
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