October 2019
Intermediate to advanced
426 pages
10h 8m
English
Amazon SageMaker offers built-in tools and capabilities for creating machine learning pipelines that incorporate feedback loops. Since machine learning pipelines were covered in Chapter 8, Creating Machine Learning Inference Pipelines, here, we will focus on the significance of incorporating a feedback loop. Let's begin:
!pip install pyarrow!pip install joblib!pip install xgboost#Read the dataset from S3 buckets3_bucket = 'ai-in-aws's3_prefix = 'Click-Fraud's3_train_prefix = os.path.join(s3_prefix, 'train')s3_val_prefix = os.path.join(s3_prefix, 'val')s3_output_prefix = os.path.join(s3_prefix, ...