82d1581d79e0057b5455cd9225aa5d5785fc9419,tslearn/tests/sklearn_patches.py,,check_classifiers_train,#Any#Any#Any#,321

Before Change

@ignore_warnings  // Warnings are raised by decision function
def check_classifiers_train(name, classifier_orig, readonly_memmap=False):
    // Skip shapelet models
    if name in ["ShapeletModel", "SerializableShapeletModel"]:
        // raise SkipTest("Skipping check_classifiers_classes for shapelets"
        //                " due to convergence issues...")
        X_m, y_m = _create_large_ts_dataset()
        classifier_orig = clone(classifier_orig)
        classifier_orig.max_iter = 1000
    else:
        X_m, y_m = _create_small_ts_dataset()

    X_m, y_m = shuffle(X_m, y_m, random_state=7)

    X_m = TimeSeriesScalerMeanVariance().fit_transform(X_m)

After Change

@ignore_warnings  // Warnings are raised by decision function
def check_classifiers_train(name, classifier_orig, readonly_memmap=False):
    // Case of shapelet models
    if name == "SerializableShapeletModel":
        raise SkipTest("Skipping check_classifiers_classes for shapelets"
                       " due to convergence issues...")
    elif name == "ShapeletModel":
        classifier_orig = clone(classifier_orig)
        classifier_orig.max_iter = 100

    X_m, y_m = _create_small_ts_dataset()
    X_m, y_m = shuffle(X_m, y_m, random_state=7)

    X_m = TimeSeriesScalerMeanVariance().fit_transform(X_m)

Instances