3-Evaluation/solutions/evaluate_with_experiments.py [35:42]:
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    model_path = "/opt/ml/processing/model/model.tar.gz"
    with tarfile.open(model_path) as tar:
        tar.extractall(path="..")

    logger.debug("Loading xgboost model.")
    model = pickle.load(open("xgboost-model", "rb"))

    logger.info("Loading test input data")
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6-Pipelines/config/evaluate.py [32:39]:
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    model_path = "/opt/ml/processing/model/model.tar.gz"
    with tarfile.open(model_path) as tar:
        tar.extractall(path="..")

    logger.debug("Loading xgboost model.")
    model = pickle.load(open("xgboost-model", "rb"))

    logger.info("Loading test input data")
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