def get_performance_metrics()

in credit-card-fraud-detection/neptune_ml_utils.py [0:0]

• 11 lines of code
• 3 McCabe index (conditional complexity)

def get_performance_metrics(training_job_name: str, download_location: str = './model-artifacts'):
    training_job_s3_output = get_modeltraining_job_output_location(training_job_name)
    if not training_job_s3_output:
        return

    download_location = os.path.join(download_location, training_job_name)
    os.makedirs(download_location, exist_ok=True)
    # download embeddings and mapping info

    S3Downloader.download(os.path.join(training_job_s3_output, "eval_metrics_info.json"),
                          download_location)

    with open(os.path.join(download_location, "eval_metrics_info.json")) as f:
        metrics = json.load(f)

    return metrics