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unit: def plot_results()
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id: 2
unit: def _run_single_set()
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id: 3
unit: def make_concepts_targets_and_randoms()
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id: 4
unit: def _process_what_to_run_expand()
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id: 5
unit: def make_keras_model()
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id: 6
unit: def print_results()
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id: 7
unit: def load_images_from_files()
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id: 8
unit: def fetch_imagenet_class()
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id: 9
unit: def _try_loading_model()
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id: 10
unit: def __init__()
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id: 11
unit: def download_texture_to_working_folder()
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id: 12
unit: def compute_tcav_score()
file: tcav/tcav.py
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id: 13
unit: def process_and_load_activations()
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id: 14
unit: def get_or_train_cav()
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id: 15
unit: def process_what_to_run_expand()
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id: 16
unit: def generate_random_folders()
file: tcav/tcav_examples/image_models/imagenet/imagenet_and_broden_fetcher.py
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size: 24 LOC
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id: 17
unit: def run()
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id: 18
unit: def make_concepts_targets_and_randoms()
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unit: def __init__()
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unit: def __init__()
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unit: def __init__()
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id: 22
unit: def load_image_from_file()
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id: 23
unit: def __init__()
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id: 24
unit: def import_graph()
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id: 25
unit: def __init__()
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id: 26
unit: def train()
file: tcav/cav.py
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id: 27
unit: def train_and_save_model()
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id: 28
unit: def _train_lm()
file: tcav/cav.py
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id: 29
unit: def download_image()
file: tcav/tcav_examples/image_models/imagenet/imagenet_and_broden_fetcher.py
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number of parameters: 2

id: 30
unit: def result_to_proto()
file: tcav/utils.py
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number of parameters: 1

id: 31
unit: def _create_cav_training_set()
file: tcav/cav.py
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number of parameters: 3

id: 32
unit: def _save_cavs()
file: tcav/cav.py
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number of parameters: 1

id: 33
unit: def fetch_all_urls_for_concept()
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size: 13 LOC
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id: 34
unit: def load_data()
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id: 35
unit: def get_params()
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id: 36
unit: def __init__()
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id: 37
unit: def __init__()
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id: 38
unit: def _find_ends_and_bottleneck_tensors()
file: tcav/model.py
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id: 39
unit: def create_input()
file: tcav/model.py
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id: 40
unit: def get_directional_dir()
file: tcav/tcav.py
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number of parameters: 6

id: 41
unit: def __init__()
file: tcav/activation_generator.py
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id: 42
unit: def get_bottleneck_tensors_mobilenet()
file: tcav/model.py
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number of parameters: 1

id: 43
unit: def create_session()
file: tcav/utils.py
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size: 9 LOC
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id: 44
unit: def encode_variables()
file: tcav/tcav_examples/discrete/kdd99_model.py
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id: 45
unit: def get_bottleneck_tensors()
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id: 46
unit: def get_examples_for_concept()
file: tcav/activation_generator.py
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id: 47
unit: def load_cav()
file: tcav/cav.py
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id: 48
unit: def create_categorical_map()
file: tcav/tcav_examples/discrete/kdd99_model.py
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id: 49
unit: def get_bottleneck_tensors()
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id: 50
unit: def process_what_to_run_concepts()
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id: 51
unit: def process_what_to_run_randoms()
file: tcav/utils.py
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id: 52
unit: def check_cav_exists()
file: tcav/cav.py
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id: 53
unit: def get_key()
file: tcav/run_params.py
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id: 54
unit: def prepare_dataset()
file: tcav/tcav_examples/discrete/kdd99_model.py
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id: 55
unit: def _convert_types()
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id: 56
unit: def _make_gradient_tensors()
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id: 57
unit: def get_gradient()
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id: 58
unit: def __init__()
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id: 59
unit: def import_keras_model()
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id: 60
unit: def results_to_proto()
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id: 61
unit: def __init__()
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id: 62
unit: def get_direction_dir_sign()
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id: 63
unit: def encoding_function()
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id: 64
unit: def encode_labels()
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id: 65
unit: def __init__()
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number of parameters: 5

id: 66
unit: def make_imagenet_dataframe()
file: tcav/tcav_examples/image_models/imagenet/imagenet_and_broden_fetcher.py
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id: 67
unit: def __init__()
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id: 68
unit: def __init__()
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id: 69
unit: def get_examples_for_concept()
file: tcav/activation_generator.py
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id: 70
unit: def perturb_act()
file: tcav/cav.py
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size: 4 LOC
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number of parameters: 5

id: 71
unit: def transform_data()
file: tcav/tcav_examples/discrete/kdd99_activation_generator.py
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number of parameters: 2

id: 72
unit: def get_predictions()
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id: 73
unit: def label_to_id()
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id: 74
unit: def run_examples()
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id: 75
unit: def __init__()
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id: 76
unit: def get_inputs_and_outputs_and_ends()
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id: 77
unit: def get_activations_for_concept()
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id: 78
unit: def get_activations_for_examples()
file: tcav/activation_generator.py
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id: 79
unit: def make_dir_if_not_exists()
file: tcav/utils.py
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size: 3 LOC
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number of parameters: 1

id: 80
unit: def cav_key()
file: tcav/cav.py
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size: 3 LOC
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number of parameters: 4

id: 81
unit: def get_key()
file: tcav/cav.py
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id: 82
unit: def adjust_prediction()
file: tcav/model.py
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size: 2 LOC
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number of parameters: 2

id: 83
unit: def reshape_activations()
file: tcav/model.py
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size: 2 LOC
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id: 84
unit: def id_to_label()
file: tcav/model.py
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id: 85
unit: def get_image_shape()
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id: 86
unit: def id_to_label()
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id: 87
unit: def label_to_id()
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id: 88
unit: def adjust_prediction()
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id: 89
unit: def id_to_label()
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id: 90
unit: def label_to_id()
file: tcav/model.py
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id: 91
unit: def process_and_load_activations()
file: tcav/activation_generator.py
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number of parameters: 3

id: 92
unit: def get_model()
file: tcav/activation_generator.py
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id: 93
unit: def get_model()
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id: 94
unit: def get_examples_for_concept()
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number of parameters: 2

id: 95
unit: def load_data()
file: tcav/activation_generator.py
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id: 96
unit: def transform_data()
file: tcav/activation_generator.py
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number of parameters: 2

id: 97
unit: def flatten()
file: tcav/utils.py
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size: 2 LOC
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id: 98
unit: def default_hparams()
file: tcav/cav.py
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id: 99
unit: def get_direction()
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size: 2 LOC
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number of parameters: 2