c71cc5b64a9a00926357e705c60b98728f08018b,tslearn/tests/sklearn_patches.py,,check_classifiers_train,#Any#Any#Any#,312

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_train for shapelet models"
                       " due to convergence issues...")

    // Generate some random walk blobs, shuffle them and normalize them
    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):
    // 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()
    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)

Instances