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

* [MNT] Update kshape test expectations for tslearn 0.7.0

* [MNT] fix kshape/ROCKAD tests

* [MNT] Fixing tslearn verison requirements

* [MNT] Using old version requirements for tslearn

Author: Nithurshen

aeon/anomaly_detection/series/distance_based/_rockad.py

@@ -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.        ])

aeon/clustering/tests/test_k_shape.py

@@ -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(

pyproject.toml

@@ -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'",