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1 id: 7 unit: def train() file: sagemaker-experiments/pytorch_mnist/src/mnist_train.py start line: 0 end line: 0 size: 52 LOC McCabe index: 17 number of parameters: 1 id: 8 unit: def show_classification_report_confusion_matrix() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils/ag_utils.py start line: 0 end line: 0 size: 51 LOC McCabe index: 6 number of parameters: 1 id: 9 unit: def transform_fn() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training/inference.py start line: 0 end line: 0 size: 45 LOC McCabe index: 2 number of parameters: 4 id: 10 unit: def cnn_model_fn() file: workshop/lab_bring-your-own-model/tensorflow/cnn_mnist_after.py start line: 0 end line: 0 size: 39 LOC McCabe index: 12 number of parameters: 3 id: 11 unit: def cnn_model_fn() file: workshop/lab_bring-your-own-model/tensorflow/cnn_mnist_before.py start line: 0 end line: 0 size: 39 LOC McCabe index: 12 number of parameters: 3 id: 12 unit: def get_or_create_iam_role() file: amazon_forecast_tutorial/common/util/fcst_utils.py start line: 0 end line: 0 size: 37 LOC McCabe index: 2 number of parameters: 1 id: 13 unit: def get_roc_auc() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training/train.py start line: 0 end line: 0 size: 37 LOC McCabe index: 7 number of parameters: 5 id: 14 unit: def main() file: workshop/lab_bring-your-own-model/tensorflow/cnn_mnist_after.py start line: 0 end line: 0 size: 32 LOC McCabe index: 5 number of parameters: 1 id: 15 unit: def test_model() file: distributed_training/train_pytorch_single_maskrcnn.py start line: 0 end line: 0 size: 28 LOC McCabe index: 7 number of parameters: 3 id: 16 unit: def test_model() file: distributed_training/train_pytorch_smdataparallel_maskrcnn.py start line: 0 end line: 0 size: 28 LOC McCabe index: 7 number of parameters: 3 id: 17 unit: def download_model_output() file: 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index: 2 number of parameters: 3 id: 28 unit: def parse_args() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training/train.py start line: 0 end line: 0 size: 15 LOC McCabe index: 1 number of parameters: 0 id: 29 unit: def test() file: sagemaker-experiments/pytorch_mnist/src/mnist_train.py start line: 0 end line: 0 size: 15 LOC McCabe index: 2 number of parameters: 3 id: 30 unit: def wait_till_delete() file: amazon_forecast_tutorial/common/util/fcst_utils.py start line: 0 end line: 0 size: 14 LOC McCabe index: 5 number of parameters: 3 id: 31 unit: def __init__() file: nlp_amazon_review/GluonNLP_BERT/src/bert/model/classification.py start line: 0 end line: 0 size: 13 LOC McCabe index: 2 number of parameters: 6 id: 32 unit: def on_stream_event() file: edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.Subscriber/1.0.0/subscriber.py start line: 0 end line: 0 size: 13 LOC McCabe index: 2 number of parameters: 2 id: 33 unit: def mlperf_test_early_exit() file: distributed_training/train_pytorch_single_maskrcnn.py start line: 0 end line: 0 size: 12 LOC McCabe index: 6 number of parameters: 7 id: 34 unit: def mlperf_test_early_exit() file: distributed_training/train_pytorch_smdataparallel_maskrcnn.py start line: 0 end line: 0 size: 12 LOC McCabe index: 6 number of parameters: 7 id: 35 unit: def arg_parse() file: mlops/sagemaker-pipelines/sagemaker-pipelines-sample/preprocess/preprocess.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 0 id: 36 unit: def model() file: tensorflow2_training_and_serving/mnist.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 0 id: 37 unit: def test_and_exchange_map() file: distributed_training/train_pytorch_single_maskrcnn.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 3 id: 38 unit: def update() file: amazon_forecast_tutorial/common/util/notebook_utils.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 2 id: 39 unit: def preprocess() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training/inference.py start line: 0 end line: 0 size: 11 LOC McCabe index: 4 number of parameters: 3 id: 40 unit: def __call__() file: nlp_amazon_review/GluonNLP_BERT/src/bert/data/transform.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 2 id: 41 unit: def parse_args() file: workshop/lab_bring-your-own-model/tensorflow/cnn_mnist_after.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 0 id: 42 unit: def _parse_args() file: tensorflow2_training_and_serving/mnist.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 0 id: 43 unit: def train() file: edge_inference/greengrass-ml-inference/src/classifier_train.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 8 id: 44 unit: def _parse_args() file: edge_inference/greengrass-ml-inference/src/classifier_train.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 0 id: 45 unit: def wait() file: amazon_forecast_tutorial/common/util/fcst_utils.py start line: 0 end line: 0 size: 9 LOC McCabe index: 3 number of parameters: 2 id: 46 unit: def arg_parse() file: mlops/sagemaker-pipelines/sagemaker-pipelines-sample/postprocess/postprocess.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 47 unit: def load_training_data() file: edge_inference/greengrass-ml-inference/src/classifier_train.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 1 id: 48 unit: def model_fn() file: nlp_amazon_review/GluonNLP_BERT/src/train_and_deploy.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 1 id: 49 unit: def __init__() file: nlp_amazon_review/GluonNLP_BERT/src/bert/model/classification.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 5 id: 50 unit: def forward() file: hpo_pytorch_mnist/mnist.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 2 id: 51 unit: def _get_test_data_loader() file: hpo_pytorch_mnist/mnist.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 3 id: 52 unit: def create_text_widget() file: amazon_forecast_tutorial/common/util/notebook_utils.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 3 id: 53 unit: def hist_flatten() file: sagemaker_processing/processing_with_bring_your_own_container_for_beginner/container/preprocess_code/preprocess.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 1 id: 54 unit: def hist_flatten() file: sagemaker_processing/processing_with_bring_your_own_container_for_beginner/preprocess_script/preprocess.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 1 id: 55 unit: def __load_input_data() file: 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sagemaker-experiments/pytorch_mnist/src/mnist_deploy.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 2 id: 61 unit: def __init__() file: hpo_pytorch_mnist/mnist.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 1 id: 62 unit: def _get_train_data_loader() file: hpo_pytorch_mnist/mnist.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 4 id: 63 unit: def extract_gz() file: amazon_forecast_tutorial/common/util/fcst_utils.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 64 unit: def predict() file: mlops/sagemaker-pipelines/sagemaker-pipelines-sample/postprocess/postprocess.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 65 unit: def show_leaderboard() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils/ag_utils.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 1 id: 66 unit: def show_model_evaluation() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils/ag_utils.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 3 id: 67 unit: def __init__() file: sagemaker-experiments/pytorch_mnist/src/mnist_train.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 1 id: 68 unit: def _get_train_data_loader() file: sagemaker-experiments/pytorch_mnist/src/mnist_train.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 4 id: 69 unit: def __init__() file: sagemaker-experiments/pytorch_mnist/src/mnist_deploy.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 1 id: 70 unit: def model_fn() file: hpo_pytorch_mnist/mnist.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 71 unit: def load_exact_sol() file: amazon_forecast_tutorial/common/util/fcst_utils.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 3 id: 72 unit: def model_fn() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training/inference.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 73 unit: def get_html_text() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils/ag_utils.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 74 unit: def show_metrics() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils/ag_utils.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 75 unit: def model_fn() file: sagemaker-experiments/pytorch_mnist/src/mnist_train.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 76 unit: def model_fn() file: sagemaker-experiments/pytorch_mnist/src/mnist_deploy.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 77 unit: def _average_gradients() file: hpo_pytorch_mnist/mnist.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 78 unit: def delete_iam_role() file: amazon_forecast_tutorial/common/util/fcst_utils.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 79 unit: def format_for_print() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 80 unit: def make_str_table() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training/inference.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 81 unit: def split_s3_path() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils/ag_utils.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 82 unit: def show_modelsummary() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils/ag_utils.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 83 unit: def _average_gradients() file: sagemaker-experiments/pytorch_mnist/src/mnist_train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 84 unit: def save_model() file: hpo_pytorch_mnist/mnist.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 85 unit: def _load_mnist_data() file: tensorflow2_training_and_serving/mnist.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 86 unit: def save_model() file: sagemaker-experiments/pytorch_mnist/src/mnist_train.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 87 unit: def hybrid_forward() file: nlp_amazon_review/GluonNLP_BERT/src/bert/model/classification.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 5 id: 88 unit: def hybrid_forward() file: nlp_amazon_review/GluonNLP_BERT/src/bert/model/classification.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 5 id: 89 unit: def __init__() file: amazon_forecast_tutorial/common/util/notebook_utils.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 90 unit: def end() file: amazon_forecast_tutorial/common/util/notebook_utils.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 1 id: 91 unit: def serving_input_fn() file: workshop/lab_bring-your-own-model/tensorflow/cnn_mnist_after.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 92 unit: def take() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training/inference.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 93 unit: def show_in_html() file: 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2 LOC McCabe index: 1 number of parameters: 1 id: 98 unit: def on_stream_error() file: edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.Subscriber/1.0.0/subscriber.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 99 unit: def on_stream_closed() file: edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.Subscriber/1.0.0/subscriber.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1