def evaluation()

in code/cv.py [0:0]


def evaluation(training_jobs, sm_client):
    """Evaluates and calculate the performance for the cross validation training jobs.
    
       Args:
         training_jobs: array of submitted training jobs
         sm_client: boto3 sagemaker client
      
       Returns:
         Average score from the training jobs collection in the given input
    """
    scores = []
    for job in training_jobs:
        job_detail = sm_client.describe_training_job(TrainingJobName=job._current_job_name)
        metrics = job_detail['FinalMetricDataList']
        score = [x['Value'] for x in metrics if x['MetricName'] == 'test:score'][0]
        scores.append(score)
        
    np_scores = np.array(scores)
    
    # Calculate the score by taking the average score across the performance of the training job
    score_avg = np.average(np_scores)
    logging.info(f'average model test score:{score_avg};')
    return score_avg