id: 1 unit: def _parse_args() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/training.py start line: 0 end line: 0 size: 219 LOC McCabe index: 1 number of parameters: 0 id: 2 unit: def main() file: sagemaker/distributed-training/train_pytorch_single_maskrcnn.py start line: 0 end line: 0 size: 91 LOC McCabe index: 5 number of parameters: 0 id: 3 unit: def main() file: sagemaker/distributed-training/train_pytorch_smdataparallel_maskrcnn.py start line: 0 end line: 0 size: 87 LOC McCabe index: 7 number of parameters: 0 id: 4 unit: def evaluate() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation/coco.py start line: 0 end line: 0 size: 79 LOC McCabe index: 25 number of parameters: 1 id: 5 unit: def train() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training/train.py start line: 0 end line: 0 size: 74 LOC McCabe index: 13 number of parameters: 1 id: 6 unit: def summarize() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation/coco.py start line: 0 end line: 0 size: 67 LOC McCabe index: 14 number of parameters: 1 id: 7 unit: def _train_impl() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/training.py start line: 0 end line: 0 size: 58 LOC McCabe index: 10 number of parameters: 1 id: 8 unit: def train() file: sagemaker/distributed-training/train_pytorch_smdataparallel_maskrcnn.py start line: 0 end line: 0 size: 55 LOC McCabe index: 9 number of parameters: 2 id: 9 unit: def train() file: sagemaker/sagemaker-inference/pytorch/code_inf1/train.py start line: 0 end line: 0 size: 53 LOC McCabe index: 17 number of parameters: 1 id: 10 unit: def train() file: sagemaker/distributed-training/train_pytorch_single_maskrcnn.py start line: 0 end line: 0 size: 53 LOC McCabe index: 7 number of parameters: 2 id: 11 unit: def train() file: sagemaker/hpo-pytorch-mnist/mnist.py start line: 0 end line: 0 size: 52 LOC McCabe index: 17 number of parameters: 1 id: 12 unit: def train() file: sagemaker/sagemaker-inference/pytorch/code_byoc/train.py start line: 0 end line: 0 size: 52 LOC McCabe index: 17 number of parameters: 1 id: 13 unit: def train() file: sagemaker/sagemaker-inference/pytorch/code_async/train.py start line: 0 end line: 0 size: 52 LOC McCabe index: 17 number of parameters: 1 id: 14 unit: def train() file: sagemaker/sagemaker-inference/pytorch/code_lambda/train.py start line: 0 end line: 0 size: 52 LOC McCabe index: 17 number of parameters: 1 id: 15 unit: def train() file: sagemaker/sagemaker-inference/pytorch/code_mme/train.py start line: 0 end line: 0 size: 52 LOC McCabe index: 17 number of parameters: 1 id: 16 unit: def train() file: sagemaker/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: 17 unit: def _eval_predictions() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation/coco.py start line: 0 end line: 0 size: 51 LOC McCabe index: 13 number of parameters: 3 id: 18 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: 19 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: 20 unit: def _config_training() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/training.py start line: 0 end line: 0 size: 44 LOC McCabe index: 5 number of parameters: 1 id: 21 unit: def do_inference() file: mlops/edge-deploy/artifacts/inference.py start line: 0 end line: 0 size: 39 LOC McCabe index: 2 number of parameters: 5 id: 22 unit: def cnn_model_fn() file: sagemaker/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: 23 unit: def cnn_model_fn() file: sagemaker/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: 24 unit: def get_or_create_iam_role() file: ai-services/forecast/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: 25 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: 26 unit: def main() file: sagemaker/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: 27 unit: def download_model_output() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils/ag_utils.py start line: 0 end line: 0 size: 28 LOC McCabe index: 6 number of parameters: 3 id: 28 unit: def test_model() file: sagemaker/distributed-training/train_pytorch_single_maskrcnn.py start line: 0 end line: 0 size: 28 LOC McCabe index: 7 number of parameters: 3 id: 29 unit: def test_model() file: sagemaker/distributed-training/train_pytorch_smdataparallel_maskrcnn.py start line: 0 end line: 0 size: 28 LOC McCabe index: 7 number of parameters: 3 id: 30 unit: def classifier() file: inference/edge/greengrass-ml-inference/src/classifier_train.py start line: 0 end line: 0 size: 27 LOC McCabe index: 1 number of parameters: 0 id: 31 unit: def main() file: sagemaker/workshop/lab_bring-your-own-model/tensorflow/cnn_mnist_before.py start line: 0 end line: 0 size: 25 LOC McCabe index: 4 number of parameters: 1 id: 32 unit: def enable_torchserve_multi_model() file: sagemaker/sagemaker-inference/pytorch/code_mme/train.py start line: 0 end line: 0 size: 25 LOC McCabe index: 3 number of parameters: 2 id: 33 unit: def model_fn() file: vision/amazon-sagemaker-pytorch-detectron2/container_serving/predict_sku110k.py start line: 0 end line: 0 size: 23 LOC McCabe index: 7 number of parameters: 1 id: 34 unit: def after_step() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/engine/hooks.py start line: 0 end line: 0 size: 21 LOC McCabe index: 6 number of parameters: 1 id: 35 unit: def build_hooks() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/engine/custom_trainer.py start line: 0 end line: 0 size: 21 LOC McCabe index: 7 number of parameters: 1 id: 36 unit: def __init__() file: nlp/nlp_amazon_review/GluonNLP_BERT/src/bert/data/transform.py start line: 0 end line: 0 size: 20 LOC McCabe index: 7 number of parameters: 8 id: 37 unit: def show_leaderboard_modelsummary() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils/ag_utils.py start line: 0 end line: 0 size: 20 LOC McCabe index: 4 number of parameters: 1 id: 38 unit: def launch_viewer() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils/ag_utils.py start line: 0 end line: 0 size: 20 LOC McCabe index: 3 number of parameters: 3 id: 39 unit: def search_training_jobs() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils/ag_utils.py start line: 0 end line: 0 size: 19 LOC McCabe index: 1 number of parameters: 2 id: 40 unit: def plot_forecasts() file: ai-services/forecast/amazon_forecast_tutorial/common/util/fcst_utils.py start line: 0 end line: 0 size: 18 LOC McCabe index: 1 number of parameters: 5 id: 41 unit: def enable_sm_oneclick_deploy() file: sagemaker/sagemaker-inference/pytorch/code_inf1/train.py start line: 0 end line: 0 size: 18 LOC McCabe index: 8 number of parameters: 1 id: 42 unit: def enable_sm_oneclick_deploy() file: sagemaker/sagemaker-inference/pytorch/code_byoc/train.py start line: 0 end line: 0 size: 18 LOC McCabe index: 8 number of parameters: 1 id: 43 unit: def enable_sm_oneclick_deploy() file: sagemaker/sagemaker-inference/pytorch/code_async/train.py start line: 0 end line: 0 size: 18 LOC McCabe index: 8 number of parameters: 1 id: 44 unit: def enable_sm_oneclick_deploy() file: sagemaker/sagemaker-inference/pytorch/code_mme/train.py start line: 0 end line: 0 size: 18 LOC McCabe index: 8 number of parameters: 1 id: 45 unit: def train() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/training.py start line: 0 end line: 0 size: 17 LOC McCabe index: 2 number of parameters: 1 id: 46 unit: def accumulate() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation/coco.py start line: 0 end line: 0 size: 17 LOC McCabe index: 3 number of parameters: 1 id: 47 unit: def transform_fn() file: nlp/nlp_amazon_review/GluonNLP_BERT/src/train_and_deploy.py start line: 0 end line: 0 size: 15 LOC McCabe index: 2 number of parameters: 4 id: 48 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: 49 unit: def test() file: sagemaker/hpo-pytorch-mnist/mnist.py start line: 0 end line: 0 size: 15 LOC McCabe index: 2 number of parameters: 3 id: 50 unit: def test() file: sagemaker/sagemaker-inference/pytorch/code_inf1/train.py start line: 0 end line: 0 size: 15 LOC McCabe index: 2 number of parameters: 3 id: 51 unit: def test() file: sagemaker/sagemaker-inference/pytorch/code_byoc/train.py start line: 0 end line: 0 size: 15 LOC McCabe index: 2 number of parameters: 3 id: 52 unit: def test() file: sagemaker/sagemaker-inference/pytorch/code_async/train.py start line: 0 end line: 0 size: 15 LOC McCabe index: 2 number of parameters: 3 id: 53 unit: def test() file: sagemaker/sagemaker-inference/pytorch/code_lambda/train.py start line: 0 end line: 0 size: 15 LOC McCabe index: 2 number of parameters: 3 id: 54 unit: def test() file: sagemaker/sagemaker-inference/pytorch/code_mme/train.py start line: 0 end line: 0 size: 15 LOC McCabe index: 2 number of parameters: 3 id: 55 unit: def test_and_exchange_map() file: sagemaker/distributed-training/train_pytorch_smdataparallel_maskrcnn.py start line: 0 end line: 0 size: 15 LOC McCabe index: 3 number of parameters: 3 id: 56 unit: def test() file: sagemaker/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: 57 unit: def wait_till_delete() file: ai-services/forecast/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: 58 unit: def __init__() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/engine/hooks.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 4 id: 59 unit: def on_stream_event() file: inference/edge/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: 60 unit: def __init__() file: nlp/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: 61 unit: def predict_fn() file: vision/amazon-sagemaker-pytorch-detectron2/container_serving/predict_sku110k.py start line: 0 end line: 0 size: 13 LOC McCabe index: 1 number of parameters: 2 id: 62 unit: def transformation() file: sagemaker/sagemaker-inference/tensorflow/container/tfserve/predictor.py start line: 0 end line: 0 size: 13 LOC McCabe index: 2 number of parameters: 0 id: 63 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: 64 unit: def annotation_to_coco() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation/utils.py start line: 0 end line: 0 size: 12 LOC McCabe index: 3 number of parameters: 1 id: 65 unit: def model() file: sagemaker/tensorflow2-training-and-serving/mnist.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 0 id: 66 unit: def mlperf_test_early_exit() file: sagemaker/distributed-training/train_pytorch_single_maskrcnn.py start line: 0 end line: 0 size: 12 LOC McCabe index: 6 number of parameters: 7 id: 67 unit: def mlperf_test_early_exit() file: sagemaker/distributed-training/train_pytorch_smdataparallel_maskrcnn.py start line: 0 end line: 0 size: 12 LOC McCabe index: 6 number of parameters: 7 id: 68 unit: def update() file: ai-services/forecast/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: 69 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: 70 unit: def test_and_exchange_map() file: sagemaker/distributed-training/train_pytorch_single_maskrcnn.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 3 id: 71 unit: def train() file: inference/edge/greengrass-ml-inference/src/classifier_train.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 8 id: 72 unit: def _parse_args() file: inference/edge/greengrass-ml-inference/src/classifier_train.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 0 id: 73 unit: def __call__() file: nlp/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: 74 unit: def _parse_args() file: sagemaker/tensorflow2-training-and-serving/mnist.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 0 id: 75 unit: def parse_args() file: sagemaker/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: 76 unit: def load_training_data() file: inference/edge/greengrass-ml-inference/src/classifier_train.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 1 id: 77 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: 78 unit: def wait() file: ai-services/forecast/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: 79 unit: def generate_predictions() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation/factory.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 4 id: 80 unit: def input_fn() file: vision/amazon-sagemaker-pytorch-detectron2/container_serving/predict_sku110k.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 2 id: 81 unit: def model_fn() file: nlp/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: 82 unit: def __init__() file: nlp/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: 83 unit: def create_text_widget() file: ai-services/forecast/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: 84 unit: def __init__() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation/coco.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 0 id: 85 unit: def _evaluate_on_coco_impl() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation/coco.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 0 id: 86 unit: def __load_input_data() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training/train.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 1 id: 87 unit: def get_training_job_list() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils/ag_utils.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 2 id: 88 unit: def show_ensemble_model() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils/ag_utils.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 1 id: 89 unit: def forward() file: sagemaker/hpo-pytorch-mnist/mnist.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 2 id: 90 unit: def _get_test_data_loader() file: sagemaker/hpo-pytorch-mnist/mnist.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 3 id: 91 unit: def _get_test_data_loader() file: sagemaker/sagemaker-inference/pytorch/code_inf1/train.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 3 id: 92 unit: def forward() file: sagemaker/sagemaker-inference/pytorch/code_inf1/model.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 2 id: 93 unit: def _get_test_data_loader() file: sagemaker/sagemaker-inference/pytorch/code_byoc/train.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 3 id: 94 unit: def forward() file: sagemaker/sagemaker-inference/pytorch/code_byoc/model.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 2 id: 95 unit: def _get_test_data_loader() file: sagemaker/sagemaker-inference/pytorch/code_async/train.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 3 id: 96 unit: def forward() file: sagemaker/sagemaker-inference/pytorch/code_async/model.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 2 id: 97 unit: def _get_test_data_loader() file: sagemaker/sagemaker-inference/pytorch/code_lambda/train.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 3 id: 98 unit: def forward() file: sagemaker/sagemaker-inference/pytorch/code_lambda/model.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 2 id: 99 unit: def _get_test_data_loader() file: sagemaker/sagemaker-inference/pytorch/code_mme/train.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 3 id: 100 unit: def forward() file: sagemaker/sagemaker-inference/pytorch/code_mme/model.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 2 id: 101 unit: def hist_flatten() file: sagemaker/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: 102 unit: def hist_flatten() file: sagemaker/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: 103 unit: def forward() file: sagemaker/sagemaker-experiments/pytorch_mnist/src/mnist_train.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 2 id: 104 unit: def _get_test_data_loader() file: sagemaker/sagemaker-experiments/pytorch_mnist/src/mnist_train.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 3 id: 105 unit: def forward() file: sagemaker/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: 106 unit: def transform() file: mlops/edge-deploy/artifacts/inference.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 107 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: 108 unit: def extract_gz() file: ai-services/forecast/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: 109 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: 110 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: 111 unit: def __init__() file: sagemaker/hpo-pytorch-mnist/mnist.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 1 id: 112 unit: def _get_train_data_loader() file: sagemaker/hpo-pytorch-mnist/mnist.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 4 id: 113 unit: def _get_train_data_loader() file: sagemaker/sagemaker-inference/pytorch/code_inf1/train.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 4 id: 114 unit: def __init__() file: sagemaker/sagemaker-inference/pytorch/code_inf1/model.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 1 id: 115 unit: def _get_train_data_loader() file: sagemaker/sagemaker-inference/pytorch/code_byoc/train.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 4 id: 116 unit: def __init__() file: sagemaker/sagemaker-inference/pytorch/code_byoc/model.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 1 id: 117 unit: def _get_train_data_loader() file: sagemaker/sagemaker-inference/pytorch/code_async/train.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 4 id: 118 unit: def __init__() file: sagemaker/sagemaker-inference/pytorch/code_async/model.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 1 id: 119 unit: def _get_train_data_loader() file: sagemaker/sagemaker-inference/pytorch/code_lambda/train.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 4 id: 120 unit: def __init__() file: sagemaker/sagemaker-inference/pytorch/code_lambda/model.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 1 id: 121 unit: def _get_train_data_loader() file: sagemaker/sagemaker-inference/pytorch/code_mme/train.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 4 id: 122 unit: def __init__() file: sagemaker/sagemaker-inference/pytorch/code_mme/model.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 1 id: 123 unit: def __init__() file: sagemaker/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: 124 unit: def _get_train_data_loader() file: sagemaker/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: 125 unit: def __init__() file: sagemaker/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: 126 unit: def load_exact_sol() file: ai-services/forecast/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: 127 unit: def __str__() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/datasets/catalog.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 128 unit: def build_test_loader() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/engine/custom_trainer.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 3 id: 129 unit: def convert_to_d2_preds() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation/utils.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 130 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: 131 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: 132 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: 133 unit: def model_fn() file: sagemaker/hpo-pytorch-mnist/mnist.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 134 unit: def save_model() file: sagemaker/sagemaker-inference/pytorch/code_inf1/train.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 3 id: 135 unit: def model_fn() file: sagemaker/sagemaker-inference/pytorch/code_byoc/inference.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 136 unit: def model_fn() file: sagemaker/sagemaker-inference/pytorch/code_async/train.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 137 unit: def save_model() file: sagemaker/sagemaker-inference/pytorch/code_mme/train.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 138 unit: def model_fn() file: sagemaker/sagemaker-inference/pytorch/code_mme/inference.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 139 unit: def model_fn() file: sagemaker/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: 140 unit: def model_fn() file: sagemaker/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: 141 unit: def delete_iam_role() file: ai-services/forecast/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: 142 unit: def build_train_loader() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/engine/custom_trainer.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 143 unit: def build_writers() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/engine/custom_trainer.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 144 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: 145 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: 146 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: 147 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: 148 unit: def _average_gradients() file: sagemaker/hpo-pytorch-mnist/mnist.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 149 unit: def _average_gradients() file: sagemaker/sagemaker-inference/pytorch/code_inf1/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 150 unit: def _average_gradients() file: sagemaker/sagemaker-inference/pytorch/code_byoc/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 151 unit: def save_model() file: sagemaker/sagemaker-inference/pytorch/code_byoc/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 152 unit: def _average_gradients() file: sagemaker/sagemaker-inference/pytorch/code_async/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 153 unit: def save_model() file: sagemaker/sagemaker-inference/pytorch/code_async/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 154 unit: def model_fn() file: sagemaker/sagemaker-inference/pytorch/code_async/inference.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 155 unit: def predict_fn() file: sagemaker/sagemaker-inference/pytorch/code_async/inference.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 156 unit: def _average_gradients() file: sagemaker/sagemaker-inference/pytorch/code_lambda/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 157 unit: def _average_gradients() file: sagemaker/sagemaker-inference/pytorch/code_mme/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 158 unit: def input_handler() file: sagemaker/sagemaker-inference/tensorflow/code/inference.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 159 unit: def _average_gradients() file: sagemaker/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: 160 unit: def remove_dataset() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/datasets/catalog.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 161 unit: def register_dataset() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/datasets/catalog.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 162 unit: def save_model() file: sagemaker/hpo-pytorch-mnist/mnist.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 163 unit: def _load_mnist_data() file: sagemaker/tensorflow2-training-and-serving/mnist.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 164 unit: def input_fn() file: sagemaker/sagemaker-inference/pytorch/code_inf1/inference.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 165 unit: def input_fn() file: sagemaker/sagemaker-inference/pytorch/code_async/inference.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 166 unit: def output_fn() file: sagemaker/sagemaker-inference/pytorch/code_async/inference.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 167 unit: def save_model() file: sagemaker/sagemaker-inference/pytorch/code_lambda/train.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 168 unit: def output_handler() file: sagemaker/sagemaker-inference/tensorflow/code/inference.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 169 unit: def get_model() file: sagemaker/sagemaker-inference/tensorflow/container/tfserve/predictor.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 170 unit: def ping() file: sagemaker/sagemaker-inference/tensorflow/container/tfserve/predictor.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 0 id: 171 unit: def save_model() file: sagemaker/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: 172 unit: def signal_handler() file: inference/edge/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.0/IoTPublisher.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 173 unit: def signal_handler() file: inference/edge/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1/IoTPublisher.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 174 unit: def hybrid_forward() file: nlp/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: 175 unit: def hybrid_forward() file: nlp/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: 176 unit: def __init__() file: ai-services/forecast/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: 177 unit: def end() file: ai-services/forecast/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: 178 unit: def build_evaluator() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/engine/custom_trainer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 179 unit: def _load_from_bytearray() file: vision/amazon-sagemaker-pytorch-detectron2/container_serving/predict_sku110k.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 180 unit: def output_fn() file: vision/amazon-sagemaker-pytorch-detectron2/container_serving/predict_sku110k.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 181 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: 182 unit: def show_in_html() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils/ag_utils.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 183 unit: def serving_input_fn() file: sagemaker/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: 184 unit: def transform_model_for_neo() file: sagemaker/sagemaker-inference/pytorch/code_inf1/train.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 185 unit: def predict() file: sagemaker/sagemaker-inference/tensorflow/container/tfserve/predictor.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 186 unit: def __init__() file: inference/edge/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 id: 187 unit: def on_stream_error() file: inference/edge/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: 188 unit: def on_stream_closed() file: inference/edge/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 id: 189 unit: def __init__() file: mlops/edge-deploy/artifacts/inference.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 190 unit: def aws_file_mode() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/datasets/catalog.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 191 unit: def generate_ground_truth() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation/factory.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 192 unit: def _annotation_from_single_img() file: vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation/utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 193 unit: def du() file: autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training/train.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1