Python construct_all_classifiers Examples

Example #1

File: test_classifiers.py Project: wildessilva/sktime-dl

def test_all_networks():
    for name, network in construct_all_classifiers(SMALL_NB_EPOCHS).items():
        print("\n\t\t" + name + " testing started")
        # test_basic_univariate(network)
        test_basic_multivariate(network)
        # test_pipeline(network)
        test_highLevelsktime(network)
        print("\t\t" + name + " testing finished")

Example #2

def test_all_networks():
    networks = {
        **construct_all_classifiers(SMALL_NB_EPOCHS),
        **construct_all_regressors(SMALL_NB_EPOCHS),
    }

    for name, network in networks.items():
        print("\n\t\t" + name + " is_fitted testing started")
        test_is_fitted(network)
        print("\t\t" + name + " is_fitted testing finished")

Example #3

def test_all_networks():
    networks = {
        **construct_all_classifiers(SMALL_NB_EPOCHS),
        **construct_all_regressors(SMALL_NB_EPOCHS),
    }

    # these networks do not support validation data as yet
    networks.pop('MCNNClassifier_quick')
    networks.pop('TWIESNClassifier_quick')

    # networks = [
    #     MLPClassifier(nb_epochs=SMALL_NB_EPOCHS),
    #     ResNetClassifier(nb_epochs=SMALL_NB_EPOCHS),
    #     InceptionTimeClassifier(nb_epochs=SMALL_NB_EPOCHS),
    # ]

    for name, network in networks.items():
        print("\n\t\t" + name + " validation testing started")
        test_validation(network)
        print("\t\t" + name + " validation testing finished")